AgentRelay MCP Server

How to use AgentRelay MCP Server

git clone https://github.com/mnemox-ai/AgentRelay.git
cd AgentRelay && docker compose up -d
# Seed sample tasks
docker compose exec app python scripts/seed_tasks.py
# → http://localhost:8000

{
  "mcpServers": {
    "agentrelay": {
      "command": "python",
      "args": ["-m", "agentrelay"],
      "env": {
        "DATABASE_URL": "postgresql+asyncpg://user:pass@localhost:5432/agentrelay",
        "REDIS_URL": "redis://localhost:6379/0"
      }
    }
  }
}

What is AgentRelay MCP Server?

AgentRelay is a Python MCP server for Claude Desktop with uvx/pip, docker, git clone. Verifiable microtask protocol for AI agent collaboration. Task lifecycle, validation engine, reputation system. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Tool access support
• Shell commands support
• Anthropic provider support
• pyproject.toml config support
• Dockerfile config support
• Connecting agents to external tools and data
• Integrations workflows

Technical details

Install or run AgentRelay using uvx/pip. Check mnemox-ai/AgentRelay for the latest setup command.

• Built for Python
• Built for Docker
• Built for Rust
• Install or run with uvx/pip
• Install or run with docker
• Install or run with git clone
• Works with Claude Desktop
• API key required

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use AgentRelay MCP Server

• Use it for connecting agents to external tools and data.
• Use it for integrations workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for claude desktop users.

Built with

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Frequently asked questions