Connect-MCP

AgentIndex

io.github.cognivis/agentindex · v0.2.0

Trust scores and on-chain payment receipts for x402 services.

MCPremoteno credentialsWeatherFinanceTasks & projects

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 83/100

What it does: 4 tools · 4 read, 0 write · Weather, Finance, Tasks & projects

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp-agentindex.craftyour.site/mcp

Tools

4 tools listed at last check
  • find_service Search the AgentIndex registry for x402 services matching a capability, e.g. "weather data" or "token prices". Returns matching services with endpoints, prices and their probed trust scores.
  • check_trust Full trust report for one service: score, delivery/honesty rates, latency, and recent probes with chain-aware payment receipts. Accepts a label ("weatherpro") or full name ("weatherpro.agentindex.eth").
  • resolve_data_need End-to-end selection: describe a task, get back the single best service to pay (plus ranked alternatives and any services to avoid). Use this before spending money over x402.
  • get_verified_data One call: pick the most-trusted service for a need, fetch the data from it, and return the data together with that provider's trust score and its latest on-chain probe receipt as proof. Use when you want the answer AND a record of why the source was trusted. Scam / low-trust providers are never sele

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