What runtime does Logseq MCP Server require?
Node.js v22 or higher.
@calvincchan
基本情報
概要はまだありません
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
The Logseq MCP Server is a server-side application designed for local use with the Model Context Protocol (MCP). It communicates via the standard input/output (stdio) MCP transport and provides backend support for Logseq-related operations, built with Node.js and ES modules.
Clone the repository, install dependencies with npm install, create a .env file with a LOGSEQ_API_TOKEN variable, then start in development mode using npm run dev.
@modelcontextprotocol/sdk.axios.dotenv.winston.—
Node.js v22 or higher.
It uses the standard input/output (stdio) MCP transport.
Yes, it requires a `LOGSEQ_API_TOKEN` environment variable, which can be set in a `.env` file.
Yes, the overview states it is designed for local use.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Model Context Protocol Servers

Open-source Python SDK & MCP interface for Priostack Agent Context Network (ACN). Zero-setup, autonomous memory orchestration for AI agents.
Project context your AI can query through MCP — with source evidence.
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