MCP server for LogSeq that exposes its Local HTTP API to AI agents. Agents can read, write, and manage LogSeq graphs. Connects directly to LogSeq's local instance. Useful for developers building AI-powered knowledge management tools or personal productivity assistants.
MCP server for LogSeq that exposes its Local HTTP API to AI agents. Agents can read, write, and manage LogSeq graphs. Connects directly to LogSeq's local instance. Useful for developers building AI-powered knowledge management tools or personal productivity assistants.
pip install mcp-logseqAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"ergut-mcp-logseq-github": {
"command": "uvx",
"args": [
"pip install mcp-logseq"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp logseq?"
API Key Required
This server requires an API key from mcp logseq. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP_LOGSEQ_API_KEY | Yes | Your mcp logseq API key |
"What resources are available in mcp logseq?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp logseq"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp logseq with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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