Transform your LogSeq knowledge base into an AI-powered workspace! This MCP server enables Claude to seamlessly interact with your LogSeq graphs.
LogSeq is an MCP project maintained in the ergut/mcp-logseq repository. The maintainer describes its purpose as “Transform your LogSeq knowledge base into an AI-powered workspace! This MCP server enables Claude to seamlessly interact with your LogSeq graphs”. Read the project documentation for the complete scope.
The project provides a local client configuration using uv. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares LOGSEQ_API_TOKEN, LOGSEQ_API_URL. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"mcp-logseq": {
"command": "uv",
"args": [
"run",
"--with",
"mcp-logseq",
"mcp-logseq"
],
"env": {
"LOGSEQ_API_TOKEN": "YOUR_LOGSEQ_API_TOKEN",
"LOGSEQ_API_URL": "http://localhost:12315"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| LOGSEQ_API_TOKEN | Declared in the maintainer’s client configuration. | Yes |
| LOGSEQ_API_URL | Declared in the maintainer’s client configuration. | Optional |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.