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
TrustScoreAgent is a reputation-lookup MCP server whose code is largely clean: it validates inputs, keeps its Ed25519 key with 0600 permissions and exclusive creation, and binds signatures to the audience and body hash. The main concerns are tool descriptions that push the model toward writing ratings on the user's behalf, and unsigned ratings that anyone can submit to the public registry at reduced weight. Its network access to the registry and local key and identity files match its stated purpose. Supply chain analysis found 6 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.
6 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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 (seeded by a transparent probe of public APIs), and parts of the design (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: Audit log with inclusion and consistency proofs (RFC 6962 tree; each leaf commits to what the rating reported)
- 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} | Inclusion proof for a rating, with the fields it commits to |
GET /v1/audit/anchors | History of anchored roots |
GET /v1/audit/consistency?from=&to= | Proof that a later root extends an earlier one |
GET /v1/audit/anchors/{id}/ots | OpenTimestamps proof that the root is committed in Bitcoin |
GET /v1/stats?days= | How much the registry is used (aggregate counts) |
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. Also listed on the
official MCP Registry
(io.github.trustscoreagent/mcp-server), npm,
Smithery and
Glama; each GitHub release attaches an
.mcpb bundle for Claude Desktop.
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
- Audit Log Specification, with an independent verifier in
tools/verify-proof
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 can be proven, but is not yet mandatory. Agents identified by a
did:keysign each rating with their Ed25519 key (X-Agent-Signature), which binds the rating to the holder of that key. Unsigned ratings still count at half weight so existing clients keep working, which means a rating is only as attributable as its signature. Verified service receipts remain the strongest signal.
See SECURITY.md for the full trust model and how to report vulnerabilities.
License
Apache-2.0. See LICENSE.
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