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
- 60Agent#169 · Qdrant
High-performance vector search engine built in Rust for production-grade AI retrieval.
PythonTypeScript +4 - MCP API OAuth2 typescript
- 60Agent#171 · Persona
Persona provides flexible and secure identity verification solutions for businesses to verify real people and real businesses online.
JavaScriptiOS +3 - API PythonJavaScript
- 60Agent#173 · Factory
The only software development agents that work everywhere you do, from IDE to CI/CD.
CLI - 60Agent#174 · Arize AI
The AI & Agent Engineering Platform for development, observability, and evaluation of LLM applications.
Python - JavaScriptPython
- 60Agent#176 · Aider
AI pair programming in your terminal that edits your codebase and commits changes via Git.
Python - 60Agent#177 · Snapchat for Business
Snap Inc's advertising platform to reach Gen Z and Millennials on Snapchat
API OAuth2 Marketing API -
- 60Agent#179 · Vellum
An AI Assistant that adapts to how you work, acts before you ask, and is entirely yours to customize.
CLI - 60Agent#180 · Browserbase
Browserbase makes the web as reliable and programmable as APIs for your AI agents.
Python (Stagehand SDK) - 60Agent#181 · Picovoice
The only all-in-one on-device voice AI platform already deployed at scale for enterprises.
PythonNode.js +9 - 60Agent#182 · MOSTLY AI
Unlock the power of data with a platform for secure access, high-quality synthetic data generation, and seamless data analysis.
Python - 60Agent#183 · Algolia
The AI search and retrieval platform for agentic, generative, and traditional search experiences.
JavaScriptSwift +8 - 60Agent#184 · Vercel AI SDK
A unified TypeScript SDK for building AI apps with modern streaming, fallbacks, and multi-model support.
TypeScriptJavaScript - MCP API OAuth2
- MCP API javascript
- MCP API
- MCP API typescript
- MCP API python
- 56Agent#190 · Lemma
Reliability platform that catches AI agent regressions and auto-optimizes prompts in production.
MCP API Webhooks - 55Agent#191 · Anyscale
Production-scale AI infrastructure powered by Ray for distributed training, data curation, and batch inference.
Python - API C++Python
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.