agentmesh_mcp_trust 3.3.0

MCP server exposing AgentMesh trust management tools for Claude, GPT, and other AI agents

MCP Trust Server for AgentMesh

MCP server that exposes AgentMesh trust management as tools for AI agents via the Model Context Protocol. 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).

Installation

pip install mcp-trust-server

Or install from the repository:

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

python -m mcp_trust_server

Or via the console script:

mcp-trust-server

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "agentmesh-trust": {
      "command": "python",
      "args": ["-m", "mcp_trust_server"],
      "env": {
        "AGENTMESH_AGENT_NAME": "my-trust-server",
        "AGENTMESH_MIN_TRUST_SCORE": "500"
      }
    }
  }
}

Using with pip install

{
  "mcpServers": {
    "agentmesh-trust": {
      "command": "mcp-trust-server"
    }
  }
}

Tool Details

check_trust(agent_did: str) -> dict

Quick trust check. Returns whether the agent meets the minimum trust threshold, overall score, and trust level.

get_trust_score(agent_did: str) -> dict

Full trust breakdown — overall score, trust level, interaction count, and last-updated timestamp.

establish_handshake(peer_did: str, capabilities: list[str]) -> dict

Creates a challenge for a trust handshake. Returns handshake ID, signature, and status.

verify_delegation(agent_did: str, delegator_did: str, capability: str) -> dict

Validates that a delegation from delegator_did to agent_did for the given capability is trustworthy.

record_interaction(peer_did: str, outcome: str, details: str) -> dict

Records an interaction with a peer and adjusts trust scores. Valid outcomes: success (+10), failure (−20), timeout (−10), partial (+5).

get_identity() -> dict

Returns this server instance's DID, name, Ed25519 public key, and granted capabilities.

Example Interaction

User: Check if agent did:mesh:abc123 is trusted

Claude calls check_trust(agent_did="did:mesh:abc123")
→ {
    "agent_did": "did:mesh:abc123",
    "trusted": true,
    "overall_score": 500,
    "trust_level": "standard",
    "dimensions": {
      "competence": 500,
      "integrity": 500,
      "availability": 500,
      "predictability": 500,
      "transparency": 500
    },
    "min_trust_threshold": 500
  }

Development

cd agent-governance-python/agent-mesh/packages/mcp-trust-server
pip install -e ".[dev]"
pytest tests/ -v

License

Apache-2.0