Vibe Coding Discovermcp-logseq
View on GitHubMCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
A Python MCP server that lets AI assistants read, search, create, and manage a Logseq graph through its local HTTP API. Optional vector search uses LanceDB with local Ollama or hosted OpenAI-compatible embeddings.
Use Cases
Read and search Logseq pagesCreate and update notes through an AI assistantManage blocks, properties, and page linksFind related notes with optional semantic searchSummarize journals and meeting notesOrganize tasks and research across a knowledge graph
Built With
- Language
- Python
- Frameworks
- Model Context Protocol · Logseq Local HTTP API · LanceDB · Ollama
Tags
Logseq · knowledge management · MCP server · semantic search · vector search · note-taking · graph management