Personal Knowledge MCP
Indexes local and enterprise documents to provide a unified personal knowledge base for AI clients via the Model Context Protocol. It supports full-text search across various file formats and integrates with platforms like Feishu and WeChat Work.
What is Personal Knowledge MCP?
Personal Knowledge MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to indexes local and enterprise documents to provide a unified personal knowledge base for ai clients via the model context protocol. it supports full-text search across various file formats and integrat...
Indexes local and enterprise documents to provide a unified personal knowledge base for AI clients via the Model Context Protocol. It supports full-text search across various file formats and integrates with platforms like Feishu and WeChat Work.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Indexes local and enterprise documents to provide a unified
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx personal-knowledge-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Personal Knowledge MCP
What is Personal Knowledge MCP?
Personal Knowledge MCP is a Model Context Protocol (MCP) server that indexes local and enterprise documents to provide a unified personal knowledge base for ai clients via the model context protocol. it supports full-text search across various file formats and integrates with platforms like feishu and wechat work. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Personal Knowledge MCP?
Follow the installation instructions on the Personal Knowledge MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Personal Knowledge MCP?
Personal Knowledge MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Personal Knowledge MCP free to use?
Yes, Personal Knowledge MCP is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
Personal Knowledge MCP Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to Personal Knowledge MCP? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Personal Knowledge MCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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