Tools on tap. Not on disk.
The quality standard for AI agent tools. Semantic search, automated quality scoring, trust engine, and agent-native signals — built for agents, transparent for humans.
AI agents need tools. But today:
- 73% of MCP servers are invisible to agents (no discoverable tool definitions)
- Top 4 most popular servers all score D or below in quality audits
- 36% of MCP servers score F on security
- No registry supports agent-driven discovery — all browsing is human-mediated
Agent Tool Intelligence fixes this.
A Tool-as-a-Service (TaaS) platform that lets AI agents discover, evaluate, and select tools autonomously.
Agent: "I need to extract tables from PDFs"
↓
POST /api/v1/search → 5 ranked results
↓
Best pick: puppeteer/puppeteer (A-grade, 94K⭐, 94% trust)
↓
Agent calls tool. Gets result. Done.
- Semantic Search — Agents search by capability, not keyword ("extract tables from PDF" → ranked results)
- Agent Readiness Score — Official status, GitHub stars, activity, documentation quality
- Trust Engine — Real-world success rates from agent feedback
- Community Score — Human-generated signals (stars, downloads, recency)
- Discrepancy Flag — Detects quality-trust contradictions (well-designed but unverified)
- Sandbox Validation — 7 automated checks per tool
- Grade Badge — Embed your tool's grade on GitHub README
# Search for tools
curl -X POST https://agent-tool-intel-production.up.railway.app/api/v1/search \
-H "Content-Type: application/json" \
-d '{"query": "browser automation", "maxResults": 3}'
# Get tool details
curl https://agent-tool-intel-production.up.railway.app/api/v1/tools/{tool_id}
# Submit feedback
curl -X POST https://agent-tool-intel-production.up.railway.app/api/v1/feedback \
-H "Content-Type: application/json" \
-d '{"toolId": "tool:mcp:puppeteer/puppeteer@latest", "result": "success", "rating": 5}'Add your MCP server's quality grade to your GitHub README:
[](https://agent-tool-intel-production.up.railway.app)Replace YOUR_ORG%2FYOUR_REPO with your server name (use %2F for /).
Badge auto-updates as scores change. See live example →
This project is part of the Agent Tool Platform:
| Module | Role |
|---|---|
| Agent Tool Intel ← you are here | Quality scoring + search + trust |
| AutoMine | Tool discovery from content |
| AgentPilot | Tool registry + execution |
All three share a unified Canonical ID system: tool:{source}:{namespace}/{name}@version
- 1,824 MCP servers indexed
- 1,834 tools scored
- 9,244 agent feedback events
- Sources: GitHub (1,705), npm (120)
Base URL: https://agent-tool-intel-production.up.railway.app
| Endpoint | Description |
|---|---|
POST /api/v1/search |
Semantic tool search with agent signals |
GET /api/v1/tools/:id |
Tool detail with scores |
POST /api/v1/tools/:id/test |
Sandbox validation |
POST /api/v1/feedback |
Submit agent usage feedback |
GET /health |
Health check |
MIT