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Composio connects apps to LLMs and IDEs with 250+ MCP servers; high-traffic developer platform.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
AI end-to-end testing for web and mobile: write tests in plain English; agents author and self-heal them.
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Managed MCP Server
- ✦MCP Integrations
- ✦Managed Auth
- ✦Improved tool accuracy
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Real-time AI answers during technical interviews
- ✦Invisible to screen sharing and recording
- ✦Hidden from dock, tray and activity monitor
- ✦Click-through overlay
- ✦Live audio capture and transcription
- ✦Lifetime unlimited access license
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Plain-English E2E test authoring
- ✦AI agents that self-heal tests
- ✦Web, iOS, and Android testing
- ✦Regression, smoke, and PR testing
- ✦Runs locally, in CI, or hosted
- ✦CLI wizard for setup
- →Connect Agents, LLMs, and IDEs with 250+ fully managed MCP servers.
- →Connect Agents with 15k+ tools through Composio’s Model Context Protocol (MCP) servers
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Automating end-to-end QA
- →Gating deploys with smoke tests
- →Testing every pull request