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"Logseq - A Knowledge Management and Note-Taking App" matching MCP servers:

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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.
    Last updated
    13
    1
    MIT
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    license
    A
    quality
    C
    maintenance
    Enables interaction with your Logseq personal knowledge management system via MCP, allowing retrieval of tagged notes and todo lists through Logseq's HTTP API.
    Last updated
    3
    9
    MIT
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    Provides an agent-first note-taking system designed from the ground up for AI collaboration. Organizes your notes as a local vault of ordinary markdown files with semantic note types.
    Last updated
    28
    278
    10
    MIT
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    quality
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    Connects MCP-compatible AI assistants to Logseq graphs, enabling block-first operations, block references, and context graph building.
    Last updated
    MIT
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    quality
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    maintenance
    An MCP server that lets an AI agent operate a Logseq (DB) graph through safe, high-level tools for reading and managing notes, tasks, and projects without needing to know Logseq's internals.
    Last updated
    MIT
  • A
    license
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    quality
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    maintenance
    An agent-first note-taking system that provides AI-guided creation and organization of structured markdown notes with customizable note types, multi-vault support, and intelligent metadata schemas. Enables natural conversation-based knowledge management with local file storage and cross-vault operations.
    Last updated
    102
    10
    MIT
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    A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.
    Last updated
    63
    MIT
  • A
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    quality
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    Connects AI assistants to Logseq knowledge graphs to read, write, and search pages, blocks, and journals via the Model Context Protocol. It features 17 tools for full graph management, including CRUD operations, batch block insertion, and full-text search.
    Last updated
    48
    Apache 2.0