Logseq Model Context Protocol Agent
Logseq Model Context Protocol Agent
A powerful AI assistant that connects Logseq with Claude and other LLMs using the Model Context Protocol (MCP).
Logseq MCP Agent lets AI assistants like Claude directly interact with your Logseq knowledge graph - search your notes, create content, organize information, and manage tasks.
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{
"mcpServers": {
"logseq": {
"command": "npx",
"args": [
"logseq-mcp"
],
"env": {
"LOGSEQ_TOKEN": "your_logseq_token"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| LOGSEQ_TOKEN | Credential the server authenticates with. | Yes |
| LOGSEQ_HOST | Endpoint or connection string the server talks to. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
An MCP for network sleuthing
World news for AI agents — newsmcp.io
:heavy_exclamation_mark: This project builds a local, read-only MCP server. For fully remote MCP access, check out the first managed MCP platform
A Model Context Protocol (MCP) server that provides RAG (Retrieval-Augmented Generation) capabilities using Contextual AI. This server integrates