AI Agent Readiness Leaderboard
Which AI tools actually work with AI-agent workflows? We score every tool on 6 dimensions: MCP endpoint, public API, webhooks, developer docs, SDKs, and auth. Total out of 100. Automated weekly rechecks keep the scores current.
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Showing 24 of 2662 tools.
Ranked tools
- MCP API
- MCP API
- API JavaScript
- MCP API
- MCP API
- PythonNode.js
- API JavaScriptPython +1
- 90Agent#32 · primitive
Communication infrastructure that lets autonomous agents talk to humans and to each other.
Node.jsPython +1 - PythonTypeScript
- 90Agent#34 · Apify
Marketplace of thousands of Actors for web scraping, automation and live AI agent data
MCP API Webhooks JavaScriptPython - 85Agent#35 · Raycast
The extensible AI launcher that puts every app, command, and model a keystroke away
MCP API OAuth2 TypeScriptReact - 85Agent#36 · Stainless
Generates production-grade SDKs, docs and MCP servers from your OpenAPI spec
MCP API OAuth2 TypeScriptPython +4 - MCP API OAuth2 PythonTypeScript
- API PythonJavaScript +1
- 85Agent#39 · Skyflow
Skyflow provides runtime AI data control, securing sensitive data across datastores, models, and AI agents.
PythonJavaScript +1 - 85Agent#40 · Coveo
Coveo provides an AI Relevance™ Platform, offering AI-powered search and conversational discovery solutions built for enterprise ROI.
JavaScriptPython +2 - 85Agent#41 · Dosu
Knowledge infrastructure for agents and humans, providing automatic knowledge capture without changing your workflow.
Node.js - 85Agent#42 · E2B
The Enterprise AI Agent Cloud provides open-source, secure environments with real-world tools for enterprise-grade AI agents.
PythonJavaScript +1 - 80Agent#43 · MeetGeek
Agentic AI meeting assistant that records, transcribes and turns calls into automated action
MCP API Webhooks - 79Agent#44 · Perplexity
AI-powered answer engine delivering real-time, cited responses to complex queries.
MCP API OAuth2 PythonNode.js - MCP API OAuth2 cli
- MCP API OAuth2 PythonJavaScript +1
- MCP API PythonJavaScript
- MCP API
FAQ
›What is MCP?
Model Context Protocol — a standard introduced by Anthropic for AI agents to call external tools. Tools that ship MCP endpoints can be used by Claude, ChatGPT Desktop, Cursor, and others without custom plumbing.
›How is the agent-readiness score calculated?
Each tool gets 0-100 across 6 dimensions: public API (30pt), MCP server (25pt), webhooks (15pt), OAuth/delegated auth (10pt), machine-readable docs (10pt), and official SDKs (10pt). Score is the weighted sum, rechecked as profiles are re-enriched. Full reference: /docs/agent-readiness.
›How often are tools rechecked?
Daily for new tools, weekly for the existing leaderboard. Drift in MCP/API surface area is flagged for editorial review before the score updates.
›What counts as agent-ready?
We consider a tool agent-ready if it has at least 3 of: MCP endpoint, public API, webhooks, OAuth2, an SDK, and good docs. Score 60+ generally means an agent can integrate without source-code-level access.
›Why are some tools missing?
We score every published startup in the directory. Stealth-mode and pre-launch tools aren’t scored until they ship a public product.