Canny

Connect an agent via an official MCP server G

Agent access

Drive the product through a documented public API G

Agent access

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

Plug MCP servers into this product so it can use their tools G

Agent access

Point an agent at llms.txt or agent-oriented docs G

Agent access

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

Build against official SDKs G

Agent access

Operate the product with natural-language commands G

Agentic features

Set up automations that run autonomously in the background G

Agentic features

Run the product headlessly / in CI for automation G

Agent access

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

Explore an interactive API reference with runnable examples G

Api quality

Issue scoped/least-privilege API credentials for an agent G

Agent access

Rely on versioned APIs with a documented deprecation policy G

Api quality

Subscribe to events via webhooks G

Agent access

Use an official CLI G

Agent access

Test against a sandbox environment without touching production data G

Api quality

Ask an AI assistant questions about customer feedback themes and their revenue impact C

Reporting

Automatically capture customer feedback mentioned in sales calls, support tickets, and chat conversations C

Centralized repository

Connect feedback capture to support, sales, and chat tools I already use C

Tool connections

Host a public feedback portal where customers submit and vote on ideas C

Public portal

Turn a customer feedback submission directly into an actionable task or project intention C

Convert to work

Access one searchable repository for all product requests and feedback from colleagues and customers C

Centralized repository

Publish a changelog announcing shipped features to close the loop with customers C

Changelog

Embed a feedback widget on my website with a single script tag and no build step C

Embeddable widget

Use AI to declutter raw feedback and surface the most impactful opportunities C

Reporting

Have AI turn a plain-language feedback description into a structured set of proposed tasks C

Convert to work

Link feedback requests to roadmap features, initiatives, and releases C

Scoring

Score feedback and ideas using fields like value, risk, impact, confidence, and effort C

Scoring

Define rules that trigger actions automatically on events G

Export all of my data in open formats and leave G

Prevent my data from being used to train AI models G

Self-host the core product G

Identify logged-in users when they submit feedback so it ties to their existing account C

Embeddable widget

Access customer context alongside feedback so I prioritize what really matters C

Reporting

Connect common third-party tools to my feedback workspace in just a few clicks C

Tool connections

Link individual feedback items to the specific customers who submitted them C

Centralized repository

Showcase new updates within my product using an embeddable changelog widget C

Changelog

Pull an approved product specification into the delivery workflow to start implementation C

Convert to work

Set up a public-facing feedback portal without engineering help C

Setup

Rely on AI to automatically detect insights within feedback and link them to related feature ideas C

Insights surfacing

Reply to customers directly from within the feedback record to close the loop C

Centralized repository

Automatically notify customers when the status of their requested feature changes C

Lifecycle automation

Do everything through the API that I can do in the UI G

Serve a fully branded public changelog page on a custom domain C

Changelog

Watch the real-time status of each in-progress task, including what it's blocked on and its last update C

Convert to work

Segment product release announcements by user attributes to send targeted release notes C

Lifecycle automation

Build automated workflows for SLAs, trial extensions, and discount offers triggered by feedback events C

Lifecycle automation

Choose where my data is stored (region/residency) G

Control data retention and deletion G

Opt out of telemetry and usage tracking G

Organize requests into a hierarchy of features, components, and initiatives C

Scoring

Perform bulk operations across many items at once G

Read the product's source under an open license G

Reschedule initiatives and move them between releases as priorities change C

Scoring

Retrieve usage analytics to understand how the product is adopted across my workspace C

Reporting

Review and approve the scope of a task before any work begins on it C

Convert to work

Schedule recurring jobs or workflows G

Add a link in my product that directs users to the feedback portal C

Public portal

Customize the feedback widget's label and colors to match my brand C

Embeddable widget

Let customers subscribe to email updates when new changelog entries are published C

Changelog

Build custom integrations that appear and operate directly inside the product's own interface C

Tool connections

Jump directly to any feedback item, task, or initiative by typing its short name C

Navigation

Use a rich text editor with custom components to format changelog and help content C

Setup

Version, review, and roll back my automations G