TrustMesh MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TrustMesh MCP Servercheck trust score for agent-paybot-42 before sending payment"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TrustMesh MCP Server
Trust scoring for AI agents via Model Context Protocol.
What is this?
An MCP server that gives AI agents (Claude, Cursor, Windsurf, etc.) the ability to check trust scores and rate interactions with other agents — before transacting.
Why?
When autonomous agents trade APIs, data, and services, they need to know: can I trust this counterparty? TrustMesh provides the reputation layer that's missing from the AI agent ecosystem.
Tools
Tool | Description |
| Rate an interaction with another agent |
| Check trust score before transacting |
| Batch check multiple agents |
| File a dispute against a bad rating |
| Resolve a dispute |
| See who trusts whom |
| List all known peers |
Install
npm install -g trustmesh-mcpConfigure
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"trustmesh": {
"command": "npx",
"args": ["-y", "trustmesh-mcp"],
"env": {
"TRUSTMESH_NODE_ID": "my-agent-001",
"TRUSTMESH_STORAGE": "sqlite",
"TRUSTMESH_DB_PATH": "/path/to/trust.db"
}
}
}
}Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"trustmesh": {
"command": "npx",
"args": ["-y", "trustmesh-mcp"]
}
}
}Windsurf
Add to .windsurf/mcp.json:
{
"mcpServers": {
"trustmesh": {
"command": "npx",
"args": ["-y", "trustmesh-mcp"]
}
}
}Environment Variables
Variable | Default | Description |
| Random | Your agent's identity |
|
|
|
|
| SQLite path (if using sqlite) |
Usage Examples
Before transacting with an unknown agent:
> Check trust score for agent-paybot-42
→ Trust Score: 0.23 (🔴 LOW)
→ ⚠️ WARNING: This agent has very low trust. Proceed with extreme caution.After a successful API call:
> Rate agent-weather-api 0.9 for delivered-api-data
→ Rating recorded. Trust graph updated.Batch check counterparties:
> Check scores for [agent-a, agent-b, agent-c]
→ 🟢 agent-a: 0.85
→ 🟡 agent-b: 0.52
→ 🔴 agent-c: 0.18License
MIT
This server cannot be installed
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