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
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- 25Agent#843 · Cluely
AI desktop overlay that listens, sees the screen, and whispers answers in real time.
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- 25Agent#845 · Alloy
The identity and fraud prevention platform for financial services, powered by Actionable AI.
- 25Agent#846 · DualBird
Hardware-accelerated, cloud-native engine for faster, cheaper data and AI processing
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- 25Agent#848 · Fourier Intelligence
General-purpose humanoid robots and embodied AI from rehabilitation roots
- 25Agent#849 · Tana
AI-native workspace built around a live knowledge graph, Supertags, and voice-driven capture.
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- 25Agent#851 · Coval
Simulation and evaluation platform for voice and chat AI agents, modeled on self-driving car testing.
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- 25Agent#853 · GitHub Copilot
The world's most adopted AI code assistant — 1M+ developers inside GitHub
MCP - 25Agent#854 · Lemonade
Forget everything you know about insurance: instant everything, incredible prices, and a big heart.
- 25Agent#855 · Bonsai Robotics
Affordable autonomous robots and farm AI for small to mid-sized growers
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- Python
- 25Agent#858 · Upstage AI
Building intelligence for the future of work with high-performance AI solutions.
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- 25Agent#860 · Sea AI Lab - SAIL
Incubating the future by understanding and creating intelligence from first principles to solve challenging problems.
Python - 25Agent#861 · Boundary (BAML)
BAML, a programming language and toolchain for building type-safe, structured-output LLM applications.
- 25Agent#862 · ELYZA
ELYZA is an AI company focused on Deep Learning, developing proprietary large language models and supporting major corporations in their LLM adoption.
- 25Agent#863 · RBC Borealis AI
Revolutionizing finance through world-class AI research, solutions, and a resilient data platform.
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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.