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 2443 tools.
Ranked tools
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- API Webhooks OAuth2 rest
- API Webhooks OAuth2 rest
- API Webhooks OAuth2 pythonrest
- API Webhooks OAuth2 rest
- 10Agent#1182 · Peregrine Technologies
Decision-support and data integration platform for public safety agencies
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- 10Agent#1184 · Vannevar Labs
AI-powered intelligence and electronic warfare software for national security
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- 10Agent#1190 · Periodic Labs
Creating AI scientists and autonomous laboratories to accelerate scientific discovery, starting with physical sciences.
- API Webhooks rest
- API Webhooks OAuth2 rest
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- OAuth2
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: MCP support (20pt), public API (20pt), webhooks (15pt), developer docs quality (15pt), SDK breadth (15pt), OAuth/auth completeness (15pt). Score is the weighted sum, rechecked weekly via automated scrapes.
›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.