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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- 10Agent#1835 · Sakana AI
An AI R&D company based in Tokyo, Japan, focused on developing AI solutions tailored for Japan's needs and democratizing AI.
- 10Agent#1836 · AI Rinna
AI Rinna is a Chief AI Communicator and AITuber, engaging millions through advanced conversational AI and creative content.
- 10Agent#1837 · Agility Robotics
Agility Robotics develops and deploys humanoid robots for industrial automation, delivering proven results in warehouses and factories.
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- 10Agent#1840 · Harrison.ai
Global leaders in AI-powered radiology and medical imaging, unlocking infinite medical capacity for healthcare systems worldwide.
- 10Agent#1841 · EVA AI
Workforce Decision Intelligence Platform for faster, fairer, and auditable hiring, mobility, and skills decisions at scale.
- 10Agent#1842 · Tabby
An open-source, self-hosted AI coding assistant for secure and efficient development.
- 10Agent#1843 · Anara
An AI workspace for scientists, students, and research teams to search, organize, write, and cite with academic rigor.
- 10Agent#1844 · Surge AI
Surge AI provides human intelligence to transform raw data into advanced artificial general intelligence (AGI).
- 10Agent#1845 · Snorkel AI
Snorkel AI helps frontier labs and AI teams develop specialized training data and environments to differentiate their models and agents.
- 10Agent#1846 · DatologyAI
Curate and optimize the best possible data for training high-performing AI models at lower costs.
- 10Agent#1847 · Reducto
AI document parsing & extraction software that unlocks data from complex documents with high accuracy.
- 10Agent#1848 · Heidi AI
Your AI Care Partner for Modern Clinical Practice, supporting clinicians from documentation to decisions and follow-up.
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.