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
- 10Agent#2017 · Freeplay
End-to-end platform for product teams building with LLMs, covering prompt and model
- 10Agent#2018 · Nory
AI-native restaurant management platform that unifies business intelligence, workforce
- 10Agent#2019 · Unique
Zurich-based agentic AI platform built for financial services, automating middle- and
- 10Agent#2020 · Fluidstack
London-based AI cloud platform providing large-scale GPU compute for training and inference
- 10Agent#2021 · Reflex Aerospace
German New Space company that designs and builds custom small satellites at speed, operating a
- 10Agent#2022 · Axelera AI
Eindhoven-based semiconductor company building AI hardware for generative AI and computer
- 10Agent#2023 · Tembo
Managed Postgres platform that makes the open-source database easy to deploy and extend for
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- TypeScriptPython +1
- 10Agent#2027 · FurtherAI
Insurance-native AI workspace automating submissions, policy comparison, claims and compliance.
- 10Agent#2028 · General Instinct
Deploy frontier AI into any edge device, fully offline, at maximum performance.
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- 10Agent#2034 · Triomics
Oncology-specific AI agents that turn unstructured EHRs into structured cancer data
- 10Agent#2035 · Poppy
Proactive AI assistant that organizes your digital life from calendar to messages
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- 10Agent#2038 · Nabla Bio
Generative AI for de novo antibody and protein design against tough drug targets
- 10Agent#2039 · Tutor Intelligence
Central robot intelligence powering fleets of warehouse robot workers
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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.