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.
Filter tools
Filters
Showing 24 of 2443 tools.
Ranked tools
- MCP API
- PythonJavaScript
- API Python
- API PythonJavaScript
- API JavaScript
- 85Agent#30 · Skyflow
Skyflow provides runtime AI data control, securing sensitive data across datastores, models, and AI agents.
PythonJavaScript +1 - 85Agent#31 · E2B
The Enterprise AI Agent Cloud provides open-source, secure environments with real-world tools for enterprise-grade AI agents.
PythonJavaScript +1 - 85Agent#32 · Dosu
Knowledge infrastructure for agents and humans, providing automatic knowledge capture without changing your workflow.
Node.js - 85Agent#33 · Coveo
Coveo provides an AI Relevance™ Platform, offering AI-powered search and conversational discovery solutions built for enterprise ROI.
JavaScriptPython +2 - API PythonJavaScript +1
- 85Agent#35 · Qdrant
High-performance vector search engine built in Rust for production-grade AI retrieval.
PythonTypeScript +4 - 85Agent#36 · GitHub Copilot
The world's most adopted AI code assistant — 1M+ developers inside GitHub
MCP - 82Agent#37 · Augment Code
AI agents that understand your entire codebase, from IDE to CLI to code review.
TypeScript - 80Agent#38 · LanceDB
AI-native multimodal lakehouse for vector search, training data, and retrieval.
PythonTypeScript +3 - 79Agent#39 · Perplexity
AI-powered answer engine delivering real-time, cited responses to complex queries.
MCP API OAuth2 PythonNode.js - MCP API OAuth2 PythonJavaScript +1
- MCP API PythonJavaScript
- MCP API PythonTypeScript +2
- MCP API
- MCP API OAuth2 typescript
- MCP API
- API Webhooks OAuth2 JavaScriptPython +3
- 75Agent#47 · Aircall
Cloud-based phone system and AI conversation intelligence for sales and support teams
API Webhooks OAuth2 JavaScript - API Webhooks OAuth2 PHPPython +1
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.