Server data from the Official MCP Registry
Check the reputation of AI microservices and public APIs from an open trust registry.
About
Check the reputation of AI microservices and public APIs from an open trust registry.
Security Report
This is a well-engineered MCP server with solid security practices. Input validation is thorough with precise error messages, authentication is properly handled via environment variables and persistent agent ID storage, and there are no dangerous patterns like command injection or credential exfiltration. The server's permissions (network_http, env_vars, file_read/write) are appropriate for its stated purpose of querying a reputation API and managing local agent identity. Minor code quality observations exist but do not materially affect security. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
3 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: TRUSTSCORE_API_URL
Environment variable: TRUSTSCORE_AGENT_DID
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-trustscoreagent-mcp-server": {
"env": {
"TRUSTSCORE_API_URL": "your-trustscore-api-url-here",
"TRUSTSCORE_AGENT_DID": "your-trustscore-agent-did-here"
},
"args": [
"-y",
"@trustscoreagent/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
TrustScoreAgent
Free, open reputation registry for AI microservices. Agents check trust scores before calling any service.
Status: Phase 1 (early). The API, scoring (Beta + EigenTrust), receipt verification, Merkle audit trail and MCP server are implemented and tested — but the public dataset is still small, some services (
*.example.com) are demo seed data, and parts of the design (on-chain anchoring, x402 payments, mandatory agent signatures) are Phase 2. We publish early and openly on purpose: the trust layer for the agentic economy should exist, be auditable, and be adoptable before it becomes critical. See the trust model in SECURITY.md.
What is this?
AI agents increasingly rely on paid microservices. TrustScoreAgent lets any agent:
- Check the reputation of a service before calling it
- Rate a service after calling it
- Discover which services are reliable
No account needed. No API key. Identify services by URL, domain, or DID.
Quick start
# Check a service's trust score (any format works)
curl "https://api.trustscoreagent.com/v1/score?service=api.example.com"
curl "https://api.trustscoreagent.com/v1/score?service=https://api.example.com/v1/translate"
# Unknown services return a neutral score (0.5) — no errors
curl "https://api.trustscoreagent.com/v1/score?service=never-seen-before.com"
# Rate a service after calling it
curl -X POST "https://api.trustscoreagent.com/v1/rate" \
-H "Content-Type: application/json" \
-H "X-Agent-DID: my-agent.example.com" \
-d '{
"service": "api.example.com",
"metrics": {
"status_code": 200,
"latency_ms": 143,
"schema_valid": true
}
}'
# List top-rated services
curl "https://api.trustscoreagent.com/v1/services?sort_by=score&min_ratings=10"
Local development
# Start PostgreSQL and Redis
docker compose up -d
# Run the API
dotnet run --project src/TrustScore.Api
# Run tests
dotnet test
# Swagger UI
open http://localhost:5000/swagger
Architecture
- C# / .NET 8 — ASP.NET Core Minimal API
- PostgreSQL — Ratings and service scores
- Redis — Score caching, rate limiting, nonce tracking
- Beta Reputation System — Bayesian scoring (per-dimension: availability, latency, conformity)
- EigenTrust — Anti-Sybil agent trust scoring
- Merkle Tree — Cryptographic audit log with inclusion proofs
- Ed25519 Receipt Verification — Cryptographic proof of service interaction
- MCP Server — Integration with Claude, Cursor, and MCP-compatible agents
API Reference
Core (free, always)
| Endpoint | Description |
|---|---|
GET /v1/score?service= | Trust score for a service (0.5 neutral for unknown) |
POST /v1/rate | Submit a rating after calling a service |
GET /v1/services | List rated services (pagination, sorting, filtering) |
GET /v1/agent/trust?did= | Check your agent's trust score |
GET /v1/audit/root | Latest Merkle tree root |
GET /v1/audit/proof/{id} | Cryptographic inclusion proof for a rating |
Premium (free for now, x402 micropayments later)
| Endpoint | Description |
|---|---|
GET /v1/score/history?service= | Daily aggregated score history |
GET /v1/score/detailed?service= | Latency percentiles, quality distribution |
POST /v1/scores/bulk | Up to 100 scores in one request |
Service identification
All endpoints accept services in any format — they are normalized internally:
api.example.com(domain)https://api.example.com/v1/translate(URL)did:web:api.example.com(DID)
All three resolve to the same service.
MCP Server
TrustScoreAgent is available as an MCP server for Claude, Cursor, and other agents.
# Add to Claude Code
claude mcp add trustscoreagent -- npx -y @trustscoreagent/mcp-server
See docs/mcp.md for full setup instructions.
Framework integrations
Drop-in tools for agent frameworks (no account or API key needed):
- LangChain —
from trustscoreagent_langchain import get_trustscoreagent_tools - CrewAI —
from trustscoreagent_crewai import get_trustscoreagent_tools
Each exposes trustscore_check_reputation, trustscore_submit_rating, and
trustscore_list_services. See integrations/.
Documentation
- API Reference
- Examples & Recipes
- Receipt Standard
- MCP Server Setup — Claude, Cursor, Windsurf
- Why Trust Matters for Agents
- Privacy & Data Handling
Contributing
Contributions are welcome — see CONTRIBUTING.md and our Code of Conduct. To report a vulnerability, follow SECURITY.md.
Project status & trust model
TrustScoreAgent is Phase 1 (early). What that means in practice:
- Baseline data is real and auditable. Initial scores come from a transparent operated
probe (
did:web:trustscoreagent.com:probe) that measures the availability, latency and conformity of a curated list of public, free APIs — real, Merkle-audited measurements, not fabricated numbers. Community and receipt-verified ratings accumulate on top. (The earlier fictitious*.example.comseeds have been removed.) - Single operator. Neutrality currently rests on open-source scoring code and a verifiable Merkle audit trail, not on decentralization. Federation is a later phase.
- Agent identity is self-asserted. Sybil resistance in Phase 1 is rate limiting + hourly EigenTrust; verified service receipts are the trustworthy signal. Mandatory agent signatures and on-chain Merkle anchoring are Phase 2.
See SECURITY.md for the full trust model and how to report vulnerabilities.
License
Apache-2.0. See LICENSE.
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