penfieldlabs/penfield-mcp

Overview

Penfield MCP provides persistent memory for AI agents via a Model Context Protocol server. It stores and retrieves agent context across sessions using a Docker-based deployment.

Best for

Best for
Developers needing a lightweight, open-source memory layer for AI agents

Use cases

• Give AI agents long-term memory across conversations
• Store and recall user preferences or session history
• Build context-aware agent workflows with persistent state

How to use

Install

gemini mcp add penfield -- npx -y mcp-remote https://mcp.penfield.app/

Tools exposed

• npx
• mcp-remote

Tested with

Claude, Cursor, Windsurf, Cline, Roo Code, Zed, Gemini CLI

Example client config

{\n  "mcpServers": {\n    "Penfield": {\n      "command": "npx",\n      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]\n    }\n  }\n}

Notes

Penfield MCP provides persistent memory for AI agents via a Model Context Protocol server. It stores and retrieves agent context across sessions using a Docker-based deployment.

3 stars on GitHub. Last updated 2026-04-04. Licensed AGPL-3.0.

Use cases

• Give AI agents long-term memory across conversations
• Store and recall user preferences or session history
• Build context-aware agent workflows with persistent state

Pros

• Simple Docker setup for quick deployment
• Free trial available for testing
• Open-source with a clear memory-focused API

Cons

• Low GitHub star count suggests limited community adoption
• Dockerfile-only language may limit customization
• No detailed documentation or examples provided

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.