0.1.0

PyPI

agent-identity-mcp-server

MCP Server for AI agent identity and authorization — create, verify, and manage agent identities

Published20 Mar 2026

Direct dependencies4

Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

MCP Server for AI agent identity and authorization. Create, verify, and manage agent identities with trust scores and scoped authorization tokens.

Agent Identities — Create and manage unique agent identities with capabilities
Trust Scores — Automatic trust scoring based on agent behavior history
Authorization Tokens — Scoped, time-limited authorization for specific actions
Auto-Approval — High-trust agents get automatic authorization for known capabilities
Identity Revocation — Revoke compromised or misbehaving agent identities

pip install agent-identity-mcp-server

Add to your .mcp.json:

{
  "mcpServers": {
    "agent-identity": {
      "command": "uvx",
      "args": ["agent-identity-mcp-server"]
    }
  }
}

Tool	Description
`create_agent_identity`	Create a new agent identity with name, owner, capabilities
`get_identity`	Look up an agent's identity and trust score
`authorize_action`	Request authorization for a specific action
`verify_authorization`	Verify if an authorization token is valid
`list_identities`	List all registered agent identities
`revoke_identity`	Revoke an agent's identity

Trust scores range from 0.0 to 1.0 and are calculated from the agent's last 50 actions:

All identity data is stored locally in SQLite at ~/.agent-identity/identities.db.

MIT

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Native requirements

4 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
httpx Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`httpx>=0.27.0`	runtime
mcp Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`mcp>=1.0.0`	runtime
pydantic Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`pydantic>=2.0.0`	runtime
python-dotenv Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`python-dotenv>=1.0.0`	runtime