How do I get my Logseq authentication token?
Open Logseq, enable the HTTP API in Settings > Features, then set and copy your authentication token in Settings > Features > HTTP API Authentication Token. Place it in your `.env` file.
@joelhooks
基本信息
mcp server for logseq graph
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"logseq-mcp-tools": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@joelhooks/logseq-mcp-tools",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Logseq MCP Tools is a Model Context Protocol (MCP) server that gives AI assistants like Claude structured access to your Logseq knowledge graph. It integrates with Logseq's HTTP API to retrieve pages, journal entries, backlinks, and perform graph analysis. Designed for Logseq users who want AI-powered exploration and summarization of their notes.
Install via Smithery (npx -y @smithery/cli install @joelhooks/logseq-mcp-tools --client claude) or clone the repository, install dependencies, and configure your Logseq authentication token in a .env file. Start the server with npm start or npx tsx index.ts. Connect it to Claude Desktop, Cursor, the Anthropic API, or JetBrains Junie by adding the MCP configuration pointing to the built server.
Open Logseq, enable the HTTP API in Settings > Features, then set and copy your authentication token in Settings > Features > HTTP API Authentication Token. Place it in your `.env` file.
Yes, the MCP server communicates with Logseq via its HTTP API, so Logseq must be open and the HTTP API enabled.
Claude Desktop runs outside your shell environment. Install Node.js globally via Homebrew (`brew install node`) to ensure it is available to all applications.
On macOS, monitor logs in real time with `tail -n 20 -F ~/Library/Logs/Claude/mcp*.log`. For detailed debugging, refer to the MCP debugging documentation.
The server is built using the Model Context Protocol TypeScript SDK, Zod for parameter validation, and the Logseq HTTP API for data access.
Groundwork: company memory for your AI tools. Docs public. Source closed. Public proof needs no account.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.
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