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
- API OAuth2
- API CLIJavaScript/Node
- 50Agent#291 · Langfuse
Open source LLM engineering platform for debugging, analyzing, and iterating on LLM applications
PythonJavaScript +1 - 50Agent#292 · Anyscale
Production-scale AI infrastructure powered by Ray for distributed training, data curation, and batch inference.
Python - API OAuth2
- API OAuth2
- python
- Python
- 50Agent#297 · ZenML
The AI Control Plane for unifying ML and GenAI workflows across your fragmented stack.
Python - 50Agent#298 · Comet
The AI Developer Platform for building, debugging, and deploying reliable AI agents.
- 50Agent#299 · Domyn
The agentic AI platform for regulated enterprises, offering full control over models, data, and infrastructure.
- 50Agent#300 · MOSTLY AI
Unlock the power of data with a platform for secure access, high-quality synthetic data generation, and seamless data analysis.
Python - 50Agent#301 · Convai
Craft and deploy spatially 3D-aware conversational AI characters for virtual worlds and immersive experiences.
- 50Agent#302 · Sanas
The real-time speech AI platform making conversations clear, natural, and scalable for the modern world.
- 50Agent#303 · Modal
High-performance AI infrastructure with sub-second cold starts and instant autoscaling.
PythonJavaScript +1 - 50Agent#304 · Lorikeet
The AI Customer Concierge for complex companies, resolving customer problems end-to-end across their lifecycle.
- 50Agent#305 · Substrate
The platform for agentic AI, providing infrastructure for intelligent software with elegant abstractions and high-performance components.
PythonTypeScript - API Python
- API PythonJavaScript/TypeScript
- API pythontypescript
- 50Agent#309 · JetBrains AI Assistant
AI inside IntelliJ, PyCharm, WebStorm — code without leaving your JetBrains IDE
KotlinJava - API Python
- API
- 50Agent#312 · Krisp
Voice AI for meetings with #1 noise cancellation, accent AI, translation, and AI note taker.
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.