agentmesh_mcp_trust

# MCP Trust Server for AgentMesh MCP server that exposes AgentMesh trust management as tools for AI agents via the [Model Context Protocol](https://modelcontextprotocol.io). Compatible with Claude, GPT, and any MCP-capable client. ## What it does Provides six trust-management tools over MCP: | Tool | Description | |------|-------------| | `check_trust` | Check if an agent is trusted — returns trust score | | `get_trust_score` | Detailed trust score breakdown | | `establish_handshake` | Initiate a cryptographic trust handshake with a peer | | `verify_delegation` | Verify a scope chain is valid | | `record_interaction` | Record an interaction outcome to update trust | | `get_identity` | Get this server's DID, public key, and capabilities | Trust is scored across multiple dimensions (0–1000 each). ## Getting Started Prerequisites: Python 3.11 or newer, `pip`, and an MCP-capable client such as Claude Desktop. ```bash python -m venv .venv source .venv/bin/activate pip install mcp-trust-server AGENTMESH_AGENT_NAME=my-trust-server mcp-trust-server ``` The server starts with in-memory storage by default. Set `AGENTMESH_MIN_TRUST_SCORE` or `AGENTMESH_STORAGE_BACKEND` before launch to customize the local policy. ## Installation ```bash pip install mcp-trust-server ``` Or install from the repository: ```bash cd agent-governance-python/agent-mesh/packages/mcp-trust-server pip install -e ".[dev]" ``` ## Configuration | Environment Variable | Description | Default | |---------------------|-------------|---------| | `AGENTMESH_AGENT_NAME` | Agent name for this server instance | `mcp-trust-agent` | | `AGENTMESH_MIN_TRUST_SCORE` | Minimum trust threshold (0–1000) | `500` | | `AGENTMESH_STORAGE_BACKEND` | Storage backend (`memory` or `redis`) | `memory` | ## Usage ### Run directly ```bash python -m mcp_trust_server ``` Or via the console script: ```bash mcp-trust-server ``` ### Claude Desktop Add to your `claude_desktop_config.json`: ```json { "mcpServers": …