Agent State MCP Server

Agent State MCP Server

Provides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.

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README

Agent State MCP Server

A Model Context Protocol (MCP) server built with FastMCP that provides agent state and log management tools for long-lived agents that may be interrupted and resumed.

Features

  • State management tools for tracking agent progress
  • Log management tools for maintaining append-only event history
  • Built with FastMCP for easy MCP server development
  • Type-safe Python code with proper type hints

Setup

Prerequisites

  • Python 3.14+
  • uv package manager

Installation

  1. Install dependencies:

    uv sync
    
  2. Activate the virtual environment (if needed):

    source .venv/bin/activate  # On macOS/Linux
    # or
    .venv\Scripts\activate  # On Windows
    

Running the Server

Run the MCP server:

uv run python main.py

Setting up MCP in Claude Desktop

  1. Open Claude Desktop settings:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Add the MCP server configuration:

    {
      "mcpServers": {
        "agent-state": {
          "command": "uv",
          "args": [
            "run",
            "python",
            "[install directory]/agent-state/main.py"
          ]
        }
      }
    }
    
  3. Important: Update the paths in the configuration:

    • Replace [install directory]/agent-state with the absolute path to this project on your system
    • Ensure the path uses forward slashes on all platforms
  4. Restart Claude Desktop for the changes to take effect.

Setting up MCP in Cursor (OpenCode)

  1. Open Cursor settings:

    • Press Cmd+, (macOS) or Ctrl+, (Windows/Linux) to open settings
    • Or go to File > Preferences > Settings
  2. Search for "MCP" in the settings

  3. Add the MCP server configuration in your settings JSON:

    {
      "mcp.servers": {
        "agent-state": {
          "command": "uv",
          "args": [
            "run",
            "python",
            "[install directory]/agent-state/main.py"
          ]
        }
      }
    }
    
  4. Important: Update the paths in the configuration:

    • Replace [install directory]/agent-state with the absolute path to this project on your system
    • Use forward slashes for paths even on Windows
  5. Restart Cursor for the changes to take effect.

Alternative: Using the virtual environment directly

If you prefer to use the virtual environment's Python directly:

  1. Find the path to your virtual environment's Python:

    which uv run python  # Shows the resolved path
    
  2. Use that path in your MCP configuration instead of uv run python.

Development

Code Quality

  • Run linting:

    uv run ruff check .
    
  • Run type checking:

    uv run pyright
    
  • Format code:

    uv run ruff format .
    

Project Structure

  • main.py - Main MCP server with agent state and log management tools
  • AGENTS.md - Coding style guidelines for this project
  • pyproject.toml - Project configuration and dependencies

License

MIT

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