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 2668 tools.
Ranked tools
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- 10Agent#1492 · Surgerii Robotics
Single-port endoscopic surgical robotics built on dual continuum mechanisms
- 10Agent#1493 · Mendaera
Handheld robotics and AI to bring precision to mainstream medical procedures
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- 10Agent#1496 · DeepIP
AI patent intelligence platform that assists IP attorneys with drafting, prosecuting and
- 10Agent#1497 · Neysa
India-based AI cloud platform offering GPU-as-a-service for training, fine-tuning, and
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- 10Agent#1499 · ComfyUI
Open-source, node-based platform for building generative AI workflows for images and video
- 10Agent#1500 · Vambe
Santiago, Chile-based startup whose AI agents automate sales conversations and customer
- 10Agent#1501 · JetStream Security
AI governance company that helps enterprises safely adopt AI at scale by mapping, monitoring
- 10Agent#1502 · Catena Labs
Building the first AI-native financial institution, providing payment and identity
- 10Agent#1503 · Modus
AI-native audit technology platform and holding company that partners with established
- 10Agent#1504 · Orbio
Madrid-based startup building what it calls the world's first AI-native human capital
- 10Agent#1505 · Orasio
Paris-based deep-tech startup building sovereign video intelligence technology for European
- 10Agent#1506 · Linkup
Paris-based startup building a web search API architected specifically for AI systems and
- 10Agent#1507 · Ricursive Intelligence
Frontier research lab building a full-stack AI platform for semiconductor design, founded by
- 10Agent#1508 · Nexthop AI
Networking infrastructure purpose-designed for AI and cloud workloads, including switches
- 10Agent#1509 · Vbot
Chinese embodied-AI startup founded by former Horizon Robotics executives, building consumer
- API Python
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- API Webhooks OAuth2 pythontypescript
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.