Rank #5 of 6 in MCP Infrastructure & Registries
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Try itExperimental
See what an agent can do with Gram (Speakeasy) before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$mktemp -d && curl -fsSL https://github.com/speakeasy-api/gram/releases/download/cli@<latest>/gram_darwin_arm64.zip -o gram.zip && unzip gram.zip && ./gram --versionrecorded session — replayed, not liveVerified integrations
No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.
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
Auth credentials — stories about auth credentials in this arenaAuth credentialsevidence →
Stories about auth credentials in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Deployment self host — stories about deployment self host in this arenaDeployment self hostevidence →
Stories about deployment self host in this arena
Gateway controls — stories about gateway controls in this arenaGateway controlsevidence →
Stories about gateway controls in this arena
Hosted servers — stories about hosted servers in this arenaHosted serversevidence →
Stories about hosted servers in this arena
Observability analytics — stories about observability analytics in this arenaObservability analyticsevidence →
Stories about observability analytics in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →
Plan structure and value — what each tier costs and what it unlocks
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Registry discovery — stories about registry discovery in this arenaRegistry discoveryevidence →
Stories about registry discovery in this arena
Sdk clients — stories about sdk clients in this arenaSdk clientsevidence →
Stories about sdk clients in this arena
Tool curation quality — stories about tool curation quality in this arenaTool curation qualityevidence →
Stories about tool curation quality in this arena
Story verdicts — every judged story with its evidenceStory verdicts
Follow the green: where the map greys out is where Gram (Speakeasy) 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
~7/10
unlocks → Webhooks · Official SDKs · Machine-readable spec · Versioning policy · Full data export · Plug the platform's tools into major agent frameworks and SDKs (Vercel AI SDK, LangChain, CrewAI, OpenAI or Anthropic SDKs) with documented adapters
Subscribe to events via webhooks
—–
Build against official SDKs
—–
Issue scoped/least-privilege API credentials for an agent
~6/10
unlocks → Autonomous automations
Connect an agent via an official MCP server
✓9/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—–
Test against a sandbox environment without touching production data
~4/10
Explore an interactive API reference with runnable examples
—–
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
~3/10
unlocks → AI insights
Operate the product with natural-language commands
✓7/10
unlocks → Autonomous automations
Plug MCP servers into this product so it can use their tools
✓7/10
Get AI-generated insights and suggestions from my data inside the product
—0/10
Set up automations that run autonomously in the background
—–
Auth credentials — stories about auth credentials in this arenaAuth credentials
Stories about auth credentials in this arena
Maintain separate connected accounts and scoped tokens per end user of my product, so each user's agent acts only on that user's credentials
—0/10
Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh
~5/10
White-label the authorization flow with my own branding and my own OAuth app credentials
~6/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Deployment self host — stories about deployment self host in this arenaDeployment self host
Stories about deployment self host in this arena
Gateway controls — stories about gateway controls in this arenaGateway controls
Stories about gateway controls in this arena
Hosted servers — stories about hosted servers in this arenaHosted servers
Stories about hosted servers in this arena
Reach a deep catalog of third-party apps and APIs (hundreds to thousands of integrations) through the platform
—0/10
Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure
✓8/10
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing
✓8/10
Publish my own MCP server on the platform for distribution, discovery, and installation by others
✓8/10
Subscribe my agent to events from connected downstream apps (triggers/webhooks) instead of polling them
—–
Observability analytics — stories about observability analytics in this arenaObservability analytics
Stories about observability analytics in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans
Plan structure and value — what each tier costs and what it unlocks
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Registry discovery — stories about registry discovery in this arenaRegistry discovery
Stories about registry discovery in this arena
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically
~6/10
Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it
~5/10
Exercise an MCP server's tools from a browser-based inspector or playground before integrating it
✓8/10
Search and browse a large catalog of MCP servers and tools by capability before wiring anything into my agent
~3/10
Sdk clients — stories about sdk clients in this arenaSdk clients
Stories about sdk clients in this arena
Tool curation quality — stories about tool curation quality in this arenaTool curation quality
Stories about tool curation quality in this arena
Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them
~5/10
Compare servers using published quality signals — usage counts, health or liveness checks, scores, or verification badges
—0/10
Search and load tools at runtime through meta-tools instead of having thousands of tool definitions stuffed into my context
—–
Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence
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 | full | 9/10 | Tprobed | |
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 | 7/10 | Tprobed | |
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 | 7/10 | Cclaimed | |
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 | partial | 3/10 | Cclaimed | |
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 | full | 8/10 | Tprobed | |
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 | |
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 | 7/10 | Tprobed | |
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 | partial | 6/10 | 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 | |
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 | 0/10 | ||
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 | none | 0/10 | ||
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 | |
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 | |
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 | |
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 | 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 | partial | 4/10 | Cclaimed | |
Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure C Connect | developer | Hosted servers — stories about hosted servers in this arenaHosted servers | 3 | full | 8/10 | Tprobed | |
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically C Api | ai agent | Registry discovery — stories about registry discovery in this arenaRegistry discovery | 3 | partial | 6/10 | Tprobed | |
Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh C Oauth | developer | Auth credentials — stories about auth credentials in this arenaAuth credentials | 3 | partial | 5/10 | Cclaimed | |
Search and browse a large catalog of MCP servers and tools by capability before wiring anything into my agent C Search | developer | Registry discovery — stories about registry discovery in this arenaRegistry discovery | 3 | partial | 3/10 | Cclaimed | |
Maintain separate connected accounts and scoped tokens per end user of my product, so each user's agent acts only on that user's credentials C Multi tenant | platform-engineer | Auth credentials — stories about auth credentials in this arenaAuth credentials | 3 | none | 0/10 | ||
Reach a deep catalog of third-party apps and APIs (hundreds to thousands of integrations) through the platform C Catalog | developer | Hosted servers — stories about hosted servers in this arenaHosted servers | 3 | none | 0/10 | ||
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | 0/10 | ||
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | none | untested | none yet | |
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 | |
Exercise an MCP server's tools from a browser-based inspector or playground before integrating it C Playground | developer | Registry discovery — stories about registry discovery in this arenaRegistry discovery | 2 | full | 8/10 | Cclaimed | |
Publish my own MCP server on the platform for distribution, discovery, and installation by others C Publish | developer | Hosted servers — stories about hosted servers in this arenaHosted servers | 2 | full | 8/10 | Tprobed | |
Restrict which servers and individual tools an agent may call through allowlists or per-tool access control C Access control | platform-engineer | Gateway controls — stories about gateway controls in this arenaGateway controls | 2 | full | 8/10 | Cclaimed | |
See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did C Audit | platform-engineer | Gateway controls — stories about gateway controls in this arenaGateway controls | 2 | full | 8/10 | Cclaimed | |
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing C Generate | developer | Hosted servers — stories about hosted servers in this arenaHosted servers | 2 | full | 8/10 | Tprobed | |
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents C Cli | developer | Sdk clients — stories about sdk clients in this arenaSdk clients | 2 | partial | 7/10 | Tprobed | |
See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost C Analytics | platform-engineer | Observability analytics — stories about observability analytics in this arenaObservability analytics | 2 | full | 7/10 | Cclaimed | |
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 | partial | 6/10 | Tprobed | |
Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it C Metadata | developer | Registry discovery — stories about registry discovery in this arenaRegistry discovery | 2 | partial | 5/10 | Cclaimed | |
Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them C Security | platform-engineer | Tool curation quality — stories about tool curation quality in this arenaTool curation quality | 2 | partial | 5/10 | Cclaimed | |
Compare servers using published quality signals — usage counts, health or liveness checks, scores, or verification badges C Signals | developer | Tool curation quality — stories about tool curation quality in this arenaTool curation quality | 2 | none | 0/10 | ||
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | 0/10 | ||
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | 0/10 | ||
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 | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Plug the platform's tools into major agent frameworks and SDKs (Vercel AI SDK, LangChain, CrewAI, OpenAI or Anthropic SDKs) with documented adapters C Frameworks | developer | Sdk clients — stories about sdk clients in this arenaSdk clients | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Search and load tools at runtime through meta-tools instead of having thousands of tool definitions stuffed into my context C Tool search | ai agent | Tool curation quality — stories about tool curation quality in this arenaTool curation quality | 2 | none | untested | none yet | |
See transparent pricing per tool call or connection plus documented rate limits before committing to the platform G Pricing | developer | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 2 | none | untested | none yet | |
Subscribe my agent to events from connected downstream apps (triggers/webhooks) instead of polling them C Triggers | developer | Hosted servers — stories about hosted servers in this arenaHosted servers | 2 | none | untested | none yet | |
White-label the authorization flow with my own branding and my own OAuth app credentials C White label | platform-engineer | Auth credentials — stories about auth credentials in this arenaAuth credentials | 1 | partial | 6/10 | Cclaimed | |
Bridge a locally running MCP server into the platform as a managed remote connection without deploying it C Bridge | developer | Deployment self host — stories about deployment self host in this arenaDeployment self host | 1 | partial | 5/10 | Cclaimed | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | partial | 4/10 | Cclaimed | |
Prototype my agent's tool connections on a meaningful free tier before paying anything G Pricing | developer | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 40 stories with headroom
What would move Gram (Speakeasy)’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 productDelegate tasks to a built-in AI assistant inside the product
partialq3/10moves Built-in AIimpact 31.5
Missing: evidence of a general task-delegation assistant experience beyond the testing/playground harness, independent corroboration of its use, and any framing of it as a primary product feature rather than a dev-testing tool.
Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events
nonemoves PA Scoreimpact 30
Gram's evidence covers governance, observability, tool logging, RBAC, and MCP server management, but there is no mention of user-definable rule/trigger systems that automatically fire actions in response to events (e.g., event-driven automation, if-this-then-that rules, webhooks-to-action).
Hosted servers — stories about hosted servers in this arenaReach a deep catalog of third-party apps and APIs (hundreds to thousands of integrations) through the platform
nonemoves PA Scoreimpact 30
Gram's documented model is generating MCP servers from your own OpenAPI/TypeScript source or governing a third-party MCP server you already run — there is no evidence of a pre-built catalog of hundreds/thousands of ready-made third-party app/API integrations comparable to a connector marketplace.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
The evidence describes Gram's inputs (OpenAPI specs, SKILL.md manifests) and platform features like RBAC, logging, and CLI, but there is no documented data-export feature letting a user pull out their configured toolsets, logs, policies, or org data in open formats to migrate away.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
While Gram's code is hosted on GitHub (gram-gh-1, gram-gh-2), the evidence pack contains no documentation, guide, or deployment instructions describing a supported self-hosted deployment of the core Control Plane — all docs describe the hosted SaaS platform, dashboard, and CLI/skill features rather than self-hosting.
Auth credentials — stories about auth credentials in this arenaMaintain separate connected accounts and scoped tokens per end user of my product, so each user's agent acts only on that user's credentials
nonemoves PA Scoreimpact 30
Missing: explicit documentation of per-end-user connected-account/token scoping, any multi-tenant credential isolation guide, and evidence of enforcement that one end user's agent cannot use another's credentials.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
Missing: any data-training policy statement, opt-out controls, or model-training disclosure.
Agenticness — how well agents can access and operate the productGet AI-generated insights and suggestions from my data inside the product
nonemoves Built-in AIimpact 30
Gram provides observability data (tool logs, usage/cost tracking, budgets) but there is no evidence that it generates AI-driven insights or suggestions from that data — it's raw logs and metrics for humans to review, not AI-generated analysis.
Showing the top 8 of 40 — 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 · 27 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs27 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Plug MCP servers into this product so it can use their tools
- Connect an agent via an official MCP server
- Use an official CLI
- Drive the product through a documented public API
- Issue scoped/least-privilege API credentials for an agent
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Test against a sandbox environment without touching production data
- Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh
- White-label the authorization flow with my own branding and my own OAuth app credentials
- Version, review, and roll back my automations
- Bridge a locally running MCP server into the platform as a managed remote connection without deploying it
- Restrict which servers and individual tools an agent may call through allowlists or per-tool access control
- See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did
- Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure
- Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing
- Publish my own MCP server on the platform for distribution, discovery, and installation by others
- See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost
- Do everything through the API that I can do in the UI
- Query the platform's registry or catalog through a documented API to discover servers and tools programmatically
- Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it
- Exercise an MCP server's tools from a browser-based inspector or playground before integrating it
- Search and browse a large catalog of MCP servers and tools by capability before wiring anything into my agent
- Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents
- Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them
GitHub README8 stories
- Issue scoped/least-privilege API credentials for an agent
- Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh
- White-label the authorization flow with my own branding and my own OAuth app credentials
- Restrict which servers and individual tools an agent may call through allowlists or per-tool access control
- See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did
- Publish my own MCP server on the platform for distribution, discovery, and installation by others
- See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost
- Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them
Product docs8 stories
- Plug MCP servers into this product so it can use their tools
- Issue scoped/least-privilege API credentials for an agent
- Restrict which servers and individual tools an agent may call through allowlists or per-tool access control
- See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did
- Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure
- Publish my own MCP server on the platform for distribution, discovery, and installation by others
- See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost
- Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them
OpenAPI spec3 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$mktemp -d && curl -fsSL https://github.com/speakeasy-api/gram/releases/download/cli@<latest>/gram_darwin_arm64.zip -o gram.zip && unzip gram.zip && ./gram --versionreproduced$ mktemp -d && curl -fsSL https://github.com/speakeasy-api/gram/releases/download/cli@<latest>/gram_darwin_arm64.zip -o gram.zip && unzip gram.zip && ./gram --version tag=cli@0.16.0 gram version 0.16.0 (1c1bb23)
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
4 of 10 testable claims verified · 1 contradicted → integrity 20/100
12 distinct capability claims found in Gram (Speakeasy)’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
4
Verified
5
Unverified
1
Contradicted
18
Undersold
Verified (4)
“Generates a hosted MCP server directly from an OpenAPI document or a TypeScript Functions project”
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbingfullproof ↗
“Lets users install toolsets as MCP servers directly into AI agents via the CLI, with self-updating CLI tooling”
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agentspartialproof ↗
“Lets users install toolsets as MCP servers directly into AI agents via the CLI, with self-updating CLI tooling”
“Admins can find/add servers, finish setup, publish, author skills, manage risk policies, and view observability from within an MCP client”
Do everything through the API that I can do in the UIpartialproof ↗
Unverified (6)
“Supports bringing your own OAuth 2.0 provider (Auth0, Okta, Keycloak, or custom) for authenticating tool access”
White-label the authorization flow with my own branding and my own OAuth app credentialspartialproof ↗
“Captures a raw execution log of every tool call across hosted, tunneled, and shadow MCP servers, skills, and local tools”
See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent didfullproof ↗
“Provides an in-dashboard agent harness to pick a server, authenticate, chat with a model invoking its tools, and inspect logs before connecting a real client”
Exercise an MCP server's tools from a browser-based inspector or playground before integrating itfullproof ↗
“Tracks AI usage across teams by tokens or cost, supports deep-diving expensive sessions, setting budgets, and measuring tool effectiveness”
See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and costfullproof ↗
“Enforces team, server, and tool-level permissions via RBAC and OAuth 2.1, synced with enterprise IDPs like Okta, Azure AD, or Google Workspace”
Restrict which servers and individual tools an agent may call through allowlists or per-tool access controlfullproof ↗
“Blocks unsanctioned shadow MCP servers by default”
Restrict which servers and individual tools an agent may call through allowlists or per-tool access controlfullproof ↗
Contradicted (1)
“Enables consolidating hundreds of MCP servers under a single gateway for organization-wide rollout”
Reach a deep catalog of third-party apps and APIs (hundreds to thousands of integrations) through the platformnoneproof ↗
Undersold (18)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Plug MCP servers into this product so it can use their toolsfullproof ↗
Drive the product through a documented public APIpartialproof ↗
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productpartialproof ↗
Operate the product with natural-language commandsfullproof ↗
Test against a sandbox environment without touching production datapartialproof ↗
Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refreshpartialproof ↗
Bridge a locally running MCP server into the platform as a managed remote connection without deploying itpartialproof ↗
Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructurefullproof ↗
Publish my own MCP server on the platform for distribution, discovery, and installation by othersfullproof ↗
Query the platform's registry or catalog through a documented API to discover servers and tools programmaticallypartialproof ↗
Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to itpartialproof ↗
Search and browse a large catalog of MCP servers and tools by capability before wiring anything into my agentpartialproof ↗
Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use thempartialproof ↗
Claims outside our story set (2)
Real capability claims found in Gram (Speakeasy)’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 front a third-party-run MCP server with a governed endpoint, applying access control, audit, and credential handling without modifying the upstream server”
source ↗“Supports skills as versioned SKILL.md manifests containing reusable instructions agents can load on demand”
source ↗
Business model
AGPL-3.0 open-source core (speakeasy-api/gram) with a hosted platform: free tier for small deployments, paid plans and enterprise contracts for the managed AI-control-plane gateway.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)