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URL: https://glama.ai/mcp/servers/integrations/logseq

⇱ Logseq | Glama

  • 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.

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    Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.
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  • Why this server?

    Provides direct integration with Logseq's knowledge base, enabling interaction with Logseq graphs, creating pages, managing blocks, and organizing information programmatically.

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    A server that enables LLMs to programmatically interact with Logseq knowledge graphs, allowing creation and management of pages and blocks.
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  • 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.

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    A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.
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  • 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.

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    Enables AI assistants like Claude to directly read, write, search, and navigate your local Logseq knowledge graph, including managing journals, pages, backlinks, and page relationships without manual copy-pasting.
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  • 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.

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    A convention-aware MCP server for managing markdown files with YAML schema validation. It enables AI agents to read, write, search, and validate markdown notes while enforcing user-defined conventions across directories like Obsidian vaults and documentation repositories.
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  • 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.

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    Orchestrate parallel Claude agent workloads via Docker containers with combinators for parallel execution, map-reduce, and pipeline workflows.
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  • 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.

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    Enables semantic search over local markdown note collections using vector embeddings, with real-time file watching and zero-config setup.
    Last updated
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  • Why this server?

    Scans a Logseq graph for concepts mentioned in multiple notes but lacking their own dedicated note, identifying knowledge gaps.

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    Scans markdown vaults to identify concepts mentioned but not defined, ranks gaps by priority, and generates research questions or random long-tail topics to fill knowledge gaps.
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    MIT