Access
Install
curl https://cursor.com/install -fsS | bashVendor-official, but review any script before piping it to a shell.
irm 'https://cursor.com/install?win32=true' | iexShowcase


Products
Cursor, product by product →Cursor ships more than one product — each judged line competes in its own arena on the same stories as everyone else.
| Line | Arena | Rank | PA Score | Agent-ready |
|---|---|---|---|---|
| Cursorthis page | AI Coding Agents | #11/13 | 27/100 | 29/100 |
| Cursor Bugbot | AI Code Review | #6/6 | 24/100 | 26/100 |
Verified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Autonomy agents — stories about autonomy agents in this arenaAutonomy agentsevidence →
Stories about autonomy agents in this arena
Code generation — quality of generated code — correctness, style, fit to the codebaseCode generationevidence →
Quality of generated code — correctness, style, fit to the codebase
Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understandingevidence →
How deeply the tool maps your repo — cross-file context, architecture awareness, history
Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystemevidence →
Integrations, plugins, and third-party ecosystem stories
Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integrationevidence →
Meeting you in the IDE and terminal — extensions, inline flows, context
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safetyevidence →
Keeping generated changes safe — diffs, approvals, guardrails
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 0 free · 0 paid · 1 enterprise · 39 not stated in evidence
Follow the green: where the map greys out is where Cursor stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
~3/10
unlocks → Webhooks · Official SDKs · Scoped API keys · Machine-readable spec · Versioning policy · API/UI parity · Full data export · View interactive diffs and share selected code as context from within my JetBrains IDE
Subscribe to events via webhooks
—–
Build against official SDKs
—–
Issue scoped/least-privilege API credentials for an agent
—–
Connect an agent via an official MCP server
n/an/a
Download a machine-readable API spec (OpenAPI or equivalent)
—–
Rely on versioned APIs with a documented deprecation policy
—–
Test against a sandbox environment without touching production data
n/an/a
Explore an interactive API reference with runnable examples
—–
Docs for agents
Point an agent at llms.txt or agent-oriented docs
—–
Agentic features
Delegate tasks to a built-in AI assistant inside the product
✓9/10
Operate the product with natural-language commands
✓8/10
Plug MCP servers into this product so it can use their tools
✓8/10
Get AI-generated insights and suggestions from my data inside the product
✓7/10
Set up automations that run autonomously in the background
✓8/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Autonomy agents — stories about autonomy agents in this arenaAutonomy agents
Stories about autonomy agents in this arena
Background execution
Parallel agents
Set up always-on agents that run on schedules or triggers to maintain and fix my software autonomously
✓8/10
Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation
Quality of generated code — correctness, style, fit to the codebase
Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding
How deeply the tool maps your repo — cross-file context, architecture awareness, history
Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystem
Integrations, plugins, and third-party ecosystem stories
Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration
Meeting you in the IDE and terminal — extensions, inline flows, context
Start a task on one device and continue it later from another device or browser
~5/10
Ide integration
Session management
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety
Keeping generated changes safe — diffs, approvals, guardrails
Sorted by importance (agentic first) (high → low) · 74/74 stories · click a row’s chevron for the rationale and evidence
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 9/10 | Cclaimed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Cclaimed | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partial | 3/10 | Tprobed | |
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Cclaimed | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Cclaimed | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Cclaimed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Tprobed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | n/a | untested | none yet | |
Connect the agent to workflow tools like Jira, Slack, and Google Drive to extend its context C Tool integration | developer | Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystem | 3 | full | 8/10 | Cclaimed | |
Delegate longer-running coding tasks to run in the background in an isolated cloud environment C Background execution | developer | Autonomy agents — stories about autonomy agents in this arenaAutonomy agents | 3 | full | 8/10 | Cclaimed | |
Describe a feature or bug in plain language and have the agent implement or fix it across multiple files C Feature implementation | developer | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 3 | full | 8/10 | Xcommunity | |
Chat with the coding assistant directly inside my IDE for contextual help C Ide integration | developer | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 3 | full | 7/10 | Xcommunity | |
Get automatic code review with contextual feedback on every pull request C Pr review | developer | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 3 | full | 7/10 | Cclaimed | |
Run a coding agent locally from my terminal C Terminal workflow | developer | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 3 | full | 7/10 | Tprobed | |
Turn a tracked issue into a complete pull request end-to-end C Feature implementation | developer | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 3 | partial | 7/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 6/10 | Cclaimed | |
Have the agent write tests, fix lint errors, resolve merge conflicts, and update dependencies for me C Maintenance automation | developer | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 3 | partial | 6/10 | Cclaimed | |
Reproduce issues, narrow down root causes, and verify fixes C Issue diagnosis | developer | Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding | 3 | partial | 6/10 | Cclaimed | |
Understand how a codebase fits together to find where to start making changes C Codebase mapping | developer | Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding | 3 | partial | 6/10 | Cclaimed | |
Inspect diffs and run checks to catch problems before merging C Pr review | developer | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 3 | partial | 5/10 | Cclaimed | |
Have the agent map and explain an entire unfamiliar codebase without manually selecting context files C Codebase mapping | developer | Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding | 3 | partial | 4/10 | Cclaimed | |
Have the agent stage changes, write commit messages, create branches, and open pull requests C Pr review | developer | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 3 | partial | 4/10 | Cclaimed | |
Add a project instructions file to set coding standards and conventions the agent follows C Context management | developer | Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding | 3 | partial | 3/10 | Cclaimed | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | untested | none yet | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Receive inline code completions and next-edit suggestions as I type C Code completion | developer | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none yet | |
Choose which underlying AI model powers my session from multiple providers C Model choice | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | full | 8/10 | Cclaimed | |
Control which external tools and integrations the agent is allowed to access C Safe execution | engineering-lead | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 2 | fullenterprise | 8/10 | Cclaimed | |
Launch fleets of autonomous agents that work in parallel on different tasks for hours or days C Parallel agents | ai-native user | Autonomy agents — stories about autonomy agents in this arenaAutonomy agents | 2 | full | 8/10 | Cclaimed | |
Set up always-on agents that run on schedules or triggers to maintain and fix my software autonomously C Scheduled automation | ai-native user | Autonomy agents — stories about autonomy agents in this arenaAutonomy agents | 2 | full | 8/10 | Cclaimed | |
Have a cloud agent build, test, and demo a feature end-to-end for my review C Background execution | ai-native user | Autonomy agents — stories about autonomy agents in this arenaAutonomy agents | 2 | full | 7/10 | Cclaimed | |
Kick off agent tasks directly from GitHub, GitLab, Linear, or Slack C Tool integration | developer | Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystem | 2 | partial | 7/10 | Cclaimed | |
Manage multiple agent-driven coding sessions from one unified workspace C Session management | engineering-lead | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 2 | full | 7/10 | Cclaimed | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | full | 7/10 | Cclaimed | |
Debug issues and troubleshoot using natural-language queries C Debugging | developer | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 2 | partial | 6/10 | Xcommunity | |
Review diffs visually and run multiple sessions side by side in a desktop app C Session management | developer | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 2 | full | 6/10 | Cclaimed | |
Run the agent non-interactively in scripts for workflow automation C Terminal workflow | developer | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 2 | partial | 6/10 | Tprobed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 5/10 | Cclaimed | |
Start a task on one device and continue it later from another device or browser C Cross device continuity | developer | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 2 | partial | 5/10 | Cclaimed | |
Configure a reproducible cloud environment with the dependencies and setup steps my repository needs C Background execution | developer | Autonomy agents — stories about autonomy agents in this arenaAutonomy agents | 2 | partial | 4/10 | Cclaimed | |
Authenticate through an enterprise identity or cloud platform for compliance and scalability G Authentication | engineering-lead | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | none | 0/10 | ||
Have the agent operate inside a sandbox when interacting with code, tools, and network resources C Safe execution | engineering-lead | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 2 | none | 0/10 | ||
Sign in with my existing product subscription plan to use the coding agent C Authentication | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | none | 0/10 | ||
Authenticate with an API key instead of an account login G Authentication | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | none | untested | none yet | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Generate a working app from a sketch, image, or PDF design C Multimodal generation | ai-native user | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 2 | none | untested | none yet | |
Get contextual explanations and automatic fixes for security vulnerabilities C Security checks | developer | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 2 | none | untested | none yet | |
Have the agent build and recall memory automatically across sessions C Context management | developer | Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding | 2 | none | untested | none yet | |
Include multiple project directories in a single session for broader context C Context management | developer | Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Integrate third-party partner-built agent apps into my workflows C Marketplace | engineering-lead | Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystem | 1 | full | 7/10 | Cclaimed | |
Equip the agent with custom skills to perform specialized tasks C Marketplace | developer | Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystem | 1 | partial | 6/10 | Cclaimed | |
Run several task attempts in parallel and compare results before choosing one C Parallel agents | developer | Autonomy agents — stories about autonomy agents in this arenaAutonomy agents | 1 | partial | 6/10 | Cclaimed | |
Debug a live running web application directly from my coding assistant C Debugging | developer | Code generation — quality of generated code — correctness, style, fit to the codebaseCode generation | 1 | none | 0/10 | ||
Let the tool automatically pick the best model for each task C Model choice | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 1 | none | 0/10 | ||
Sign in with a personal account to get free-tier access without managing API keys G Authentication | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 1 | none | 0/10 | ||
View interactive diffs and share selected code as context from within my JetBrains IDE C Ide integration | developer | Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration | 1 | none | 0/10 | ||
Create a shared workspace from my docs and repos as a common source of truth for the team C Team knowledge | engineering-lead | Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystem | 1 | none | untested | none yet | |
Opt out of having my code and prompts used for AI model training C Data governance | engineering-lead | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 1 | none | untested | none yet | |
See license and public-code matching references for AI-suggested code C Security checks | engineering-lead | Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety | 1 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 50 stories with headroom
What would move Cursor’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productDrive the product through a documented public API
partialq3/10moves agent-readyimpact 31.5
Missing: documented REST/GraphQL API, SDK/client libraries, API authentication and rate-limit docs, independent corroboration of programmatic usage.
Code generation — quality of generated code — correctness, style, fit to the codebaseReceive inline code completions and next-edit suggestions as I type
nonemoves PA Scoreimpact 30
Missing: any first-party doc on Cursor's Tab/inline completion feature, hands-on confirmation it works as typed, and mention of 'next-edit' suggestion behavior.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
No evidence in the pack addresses data export, portability, or open-format data extraction from Cursor; being built on VS Code (a fork) doesn't itself guarantee user data/settings export tooling is documented anywhere here.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
The evidence pack contains no documentation of a privacy mode, opt-out of training, or data-retention controls for Cursor; all cited docs cover unrelated features (agents, MCP, integrations) and community threads are unrelated to training-data privacy.
Agenticness — how well agents can access and operate the productPoint an agent at llms.txt or agent-oriented docs
nonemoves agent-readyimpact 30
Missing: any mention of llms.txt support, crawling agent-oriented doc formats, or a documented feature for feeding external agent docs to Cursor's agent.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
No evidence Cursor lets users mint scoped or least-privilege API credentials for agents; docs cover MCP server toggling and enterprise admin control of which servers can run, but nothing about issuing scoped/limited API keys or credentials specifically for agent use.
Agenticness — how well agents can access and operate the productBuild against official SDKs
nonemoves agent-readyimpact 30
Evidence shows Cursor offers a CLI, MCP integration, and marketplace extensions, but there is no mention of any official SDK (e.g., a documented library/API package) for developers to build against Cursor itself.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
Evidence covers MCP integration, background agents, and IDE integrations, but there is no mention of a webhook subscription mechanism for external event notifications.
Showing the top 8 of 50 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map5 surfaces · 40 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
cursor.com31 stories
- Run the product headlessly / in CI for automation
- Use an official CLI
- Drive the product through a documented public API
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Schedule recurring jobs or workflows
- Have a cloud agent build, test, and demo a feature end-to-end for my review
- Delegate longer-running coding tasks to run in the background in an isolated cloud environment
- Configure a reproducible cloud environment with the dependencies and setup steps my repository needs
- Launch fleets of autonomous agents that work in parallel on different tasks for hours or days
- Run several task attempts in parallel and compare results before choosing one
- Set up always-on agents that run on schedules or triggers to maintain and fix my software autonomously
- Turn a tracked issue into a complete pull request end-to-end
- Describe a feature or bug in plain language and have the agent implement or fix it across multiple files
- Have the agent write tests, fix lint errors, resolve merge conflicts, and update dependencies for me
- Reproduce issues, narrow down root causes, and verify fixes
- Connect the agent to workflow tools like Jira, Slack, and Google Drive to extend its context
- Kick off agent tasks directly from GitHub, GitLab, Linear, or Slack
- Start a task on one device and continue it later from another device or browser
- Chat with the coding assistant directly inside my IDE for contextual help
- Review diffs visually and run multiple sessions side by side in a desktop app
- Manage multiple agent-driven coding sessions from one unified workspace
- Run a coding agent locally from my terminal
- Run the agent non-interactively in scripts for workflow automation
- Choose which underlying AI model powers my session from multiple providers
- Have the agent stage changes, write commit messages, create branches, and open pull requests
- Get automatic code review with contextual feedback on every pull request
- Inspect diffs and run checks to catch problems before merging
docs.cursor.com21 stories
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Define rules that trigger actions automatically on events
- Debug issues and troubleshoot using natural-language queries
- Turn a tracked issue into a complete pull request end-to-end
- Describe a feature or bug in plain language and have the agent implement or fix it across multiple files
- Have the agent write tests, fix lint errors, resolve merge conflicts, and update dependencies for me
- Understand how a codebase fits together to find where to start making changes
- Have the agent map and explain an entire unfamiliar codebase without manually selecting context files
- Add a project instructions file to set coding standards and conventions the agent follows
- Reproduce issues, narrow down root causes, and verify fixes
- Equip the agent with custom skills to perform specialized tasks
- Integrate third-party partner-built agent apps into my workflows
- Connect the agent to workflow tools like Jira, Slack, and Google Drive to extend its context
- Kick off agent tasks directly from GitHub, GitLab, Linear, or Slack
- Chat with the coding assistant directly inside my IDE for contextual help
- Review diffs visually and run multiple sessions side by side in a desktop app
- Have the agent stage changes, write commit messages, create branches, and open pull requests
- Get automatic code review with contextual feedback on every pull request
- Inspect diffs and run checks to catch problems before merging
CLI docs5 stories
docs5 stories
- Plug MCP servers into this product so it can use their tools
- Equip the agent with custom skills to perform specialized tasks
- Integrate third-party partner-built agent apps into my workflows
- Connect the agent to workflow tools like Jira, Slack, and Google Drive to extend its context
- Control which external tools and integrations the agent is allowed to access
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
2 of 16 testable claims verified · 0 contradicted → integrity 13/100
20 distinct capability claims found in Cursor’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
2
Verified
14
Unverified
0
Contradicted
24
Undersold
Verified (2)
“Runs as a local terminal agent, collaborates in Slack, and reviews PRs in GitHub”
“Provides an official CLI installable via a single shell command”
Unverified (20)
“Can trace how a repository fits together to find the right places to start”
Understand how a codebase fits together to find where to start making changespartialproof ↗
“Can reproduce issues, narrow down root causes, and verify fixes”
Reproduce issues, narrow down root causes, and verify fixespartialproof ↗
“Can inspect diffs and run checks to catch problems before merging”
Inspect diffs and run checks to catch problems before mergingpartialproof ↗
“Provides a single place to add plugins, skills, MCP servers, and rules”
Equip the agent with custom skills to perform specialized taskspartialproof ↗
“Provides a single place to add plugins, skills, MCP servers, and rules”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Integrates with GitHub, GitLab, Azure DevOps, Bitbucket, JetBrains, Slack, Linear and more”
Connect the agent to workflow tools like Jira, Slack, and Google Drive to extend its contextfullproof ↗
“Integrates with GitHub, GitLab, Azure DevOps, Bitbucket, JetBrains, Slack, Linear and more”
Kick off agent tasks directly from GitHub, GitLab, Linear, or Slackpartialproof ↗
“Lets users choose between multiple cutting-edge models from different providers”
Choose which underlying AI model powers my session from multiple providersfullproof ↗
“Can launch fleets of agents working in parallel on tasks for hours or days”
Launch fleets of autonomous agents that work in parallel on different tasks for hours or daysfullproof ↗
“Supports always-on agents that run on schedules or triggers to build, maintain, and fix software”
Set up always-on agents that run on schedules or triggers to maintain and fix my software autonomouslyfullproof ↗
“Runs as a local terminal agent, collaborates in Slack, and reviews PRs in GitHub”
Kick off agent tasks directly from GitHub, GitLab, Linear, or Slackpartialproof ↗
“Lets users hand off coding tasks to run in the background while they focus on decisions”
Delegate longer-running coding tasks to run in the background in an isolated cloud environmentfullproof ↗
“Agents use their own computers to build, test, and demo features end-to-end for review”
Have a cloud agent build, test, and demo a feature end-to-end for my reviewfullproof ↗
“Agent can autonomously make code changes and write descriptive commit/summary messages”
Have the agent stage changes, write commit messages, create branches, and open pull requestspartialproof ↗
“Supports Model Context Protocol (MCP) to connect to external tools and data sources”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Users can install MCP servers from a marketplace and authenticate via OAuth”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Allows configuring custom MCP servers via a JSON configuration file”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Enterprise admins can control which MCP servers users are permitted to run”
Control which external tools and integrations the agent is allowed to accessfullproof ↗
“MCP servers can return rich content like images, screenshots, and diagrams”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Users can toggle MCP servers on/off without removing their configuration”
Plug MCP servers into this product so it can use their toolsfullproof ↗
Undersold (24)
Run the product headlessly / in CI for automationpartialproof ↗
Drive the product through a documented public APIpartialproof ↗
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
Set up automations that run autonomously in the backgroundfullproof ↗
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
Operate the product with natural-language commandsfullproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
Configure a reproducible cloud environment with the dependencies and setup steps my repository needspartialproof ↗
Run several task attempts in parallel and compare results before choosing onepartialproof ↗
Debug issues and troubleshoot using natural-language queriespartialproof ↗
Turn a tracked issue into a complete pull request end-to-endpartialproof ↗
Describe a feature or bug in plain language and have the agent implement or fix it across multiple filesfullproof ↗
Have the agent write tests, fix lint errors, resolve merge conflicts, and update dependencies for mepartialproof ↗
Have the agent map and explain an entire unfamiliar codebase without manually selecting context filespartialproof ↗
Add a project instructions file to set coding standards and conventions the agent followspartialproof ↗
Integrate third-party partner-built agent apps into my workflowsfullproof ↗
Start a task on one device and continue it later from another device or browserpartialproof ↗
Chat with the coding assistant directly inside my IDE for contextual helpfullproof ↗
Review diffs visually and run multiple sessions side by side in a desktop appfullproof ↗
Manage multiple agent-driven coding sessions from one unified workspacefullproof ↗
Run the agent non-interactively in scripts for workflow automationpartialproof ↗
Get automatic code review with contextual feedback on every pull requestfullproof ↗
Claims outside our story set (1)
Real capability claims found in Cursor’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Can scope changes and use a dedicated Plan Mode before shipping larger work”
source ↗
Business model
Free Hobby tier; paid Individual (Pro/Pro+/Ultra, $20+/mo) and Team ($40/user/mo) plans include model usage, plus usage-based billing beyond limits.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
