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
- 35Agent#769 · Swimm
AI-powered code documentation and legacy modernization built on static analysis
MCP OAuth2 - API JavaScript
- 35Agent#771 · Indexable
Sandbox infrastructure for AI agents with millisecond full-environment forks.
- API PythonTypeScript +5
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- 35Agent#774 · Netomi
The only agentic AI platform built for what comes after the pilot, designed for enterprises that can't afford to get it wrong.
- 35Agent#775 · ReasonBlocks
Agent runtime that catches mid-run failures and builds a private reasoning library.
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- 35Agent#777 · Ellipsis
Platform for deploying, managing and observing AI coding agents — plus AI code review
MCP OAuth2 - 35Agent#778 · Fractal Analytics
Power enterprise decisions with AI that works, transforming organizations with AI engineered for scale and designed for impact.
- 35Agent#779 · Korso
The intelligence layer for manufacturing that automates RFQs, supplier comms, and production exceptions.
- JavaScriptPython +1
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- 35Agent#782 · Mad Street Den
The only AI stack you will ever need, delivering obsessively on enterprise business outcomes.
- 35Agent#783 · Magnific
The AI creative platform for video, image, and audio production at any scale.
- Python
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- 35Agent#786 · Bland AI
Automate phone calls with conversational AI for enterprises, powering next-generation AI call centers.
- 35Agent#787 · Translated
Professional language solutions for your business, crafted by experts, powered by technology, and delivered efficiently.
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- 35Agent#789 · Lunit
Conquer cancer through cutting-edge AI for earlier detection and more precise oncology treatments.
- 35Agent#790 · Locus
Achieve exceptional profitability and delivery excellence with AI-driven logistics solutions for seamless omnichannel fulfillment.
- 35Agent#791 · Hi Marley
The insurance ecosystem communicates with clarity, speed, and ease through intelligent messaging.
- 35Agent#792 · Constructor
AI-native platform powering commerce discovery by interpreting shopper behavior, context, and intent.
JavaScriptPython +5
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.