Logseq is an open-source knowledge management tool that works on top of local plain-text Markdown and Org-mode files. It's designed for organizing and connecting thoughts, managing knowledge, and collaboration.
Why this server?
Enables MCP server capabilities for Logseq graphs, offering markdown file operations, semantic search, fragment retrieval, and surgical editing for Logseq's knowledge base structure.
Why this server?
Provides direct integration with Logseq's knowledge base, enabling interaction with Logseq graphs, creating pages, managing blocks, and organizing information programmatically.
Why this server?
Enables AI agents to interact with a local Logseq instance by providing tools for managing pages and blocks, including creating, updating, deleting, and searching content within a Logseq graph.
Why this server?
Provides tools for interacting with a local Logseq instance, enabling management of pages and blocks, including creating, reading, updating, and deleting operations, as well as searching across the knowledge graph.
Why this server?
Allows interaction with LogSeq via its API, including listing graphs and pages, getting, creating, updating, and deleting pages, and searching content across all pages
Why this server?
Enables AI assistants to directly read, write, and manage Logseq graphs, including creating and modifying pages, searching content, navigating backlinks and page relationships, and managing journal entries with template support.
Why this server?
Provides tools for managing Logseq workspaces, including reading/writing notes, handling bidirectional links, managing tags, and validating notes against schemas for convention enforcement.
Why this server?
Allows Claude agents to access and interact with a Logseq knowledge graph via MCP, enabling reading, writing, and querying of pages and blocks.
Why this server?
Enables semantic search over markdown notes stored in Logseq vaults, allowing AI assistants to find relevant content by meaning rather than exact keyword matches.