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    Mcp Logseq

    MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.

    136 stars
    Python
    Updated Nov 4, 2025

    Table of Contents

    • ✨ What You Can Do
    • 🎯 Real-World Examples
    • 💡 Key Benefits
    • 🚀 Quick Start
    • Step 1: Enable LogSeq API
    • Step 2: Add to Claude (No Installation Required!)
    • Claude Code
    • Claude Desktop
    • Step 3: Start Using!
    • 🔬 Vector Search (Optional)
    • 🛠️ Available Tools
    • 🎨 Smart Markdown Parsing (v1.1.0+)
    • Tasks
    • Code Example
    • 🔁 Safe Retries & Large Writes
    • ⚙️ Prerequisites
    • LogSeq Setup
    • System Requirements
    • 🔧 Configuration
    • Environment Variables
    • Privacy & Access Control
    • Namespace access control
    • 🌐 Serving over HTTP, multi-profile & TLS
    • Alternative Setup Methods
    • Using .env file
    • System environment variables
    • 🔍 Verification & Testing
    • Test LogSeq Connection
    • Verify MCP Registration
    • Debug with MCP Inspector
    • 🐛 Troubleshooting
    • Common Issues
    • "LOGSEQ_API_TOKEN environment variable required"
    • "spawn uv ENOENT" (Claude Desktop)
    • Connection Issues
    • 👩‍💻 Development

    Table of Contents

    • ✨ What You Can Do
    • 🎯 Real-World Examples
    • 💡 Key Benefits
    • 🚀 Quick Start
    • Step 1: Enable LogSeq API
    • Step 2: Add to Claude (No Installation Required!)
    • Claude Code
    • Claude Desktop
    • Step 3: Start Using!
    • 🔬 Vector Search (Optional)
    • 🛠️ Available Tools
    • 🎨 Smart Markdown Parsing (v1.1.0+)
    • Tasks
    • Code Example
    • 🔁 Safe Retries & Large Writes
    • ⚙️ Prerequisites
    • LogSeq Setup
    • System Requirements
    • 🔧 Configuration
    • Environment Variables
    • Privacy & Access Control
    • Namespace access control
    • 🌐 Serving over HTTP, multi-profile & TLS
    • Alternative Setup Methods
    • Using .env file
    • System environment variables
    • 🔍 Verification & Testing
    • Test LogSeq Connection
    • Verify MCP Registration
    • Debug with MCP Inspector
    • 🐛 Troubleshooting
    • Common Issues
    • "LOGSEQ_API_TOKEN environment variable required"
    • "spawn uv ENOENT" (Claude Desktop)
    • Connection Issues
    • 👩‍💻 Development

    Documentation

    ✨ What You Can Do

    Transform your LogSeq knowledge base into an AI-powered workspace! This MCP server enables Claude to seamlessly interact with your LogSeq graphs.

    🎯 Real-World Examples

    📊 Intelligent Knowledge Management

    code
    "Analyze all my project notes from the past month and create a status summary"
    "Find pages mentioning 'machine learning' and create a study roadmap"
    "Search for incomplete tasks across all my pages"

    📝 Automated Content Creation

    code
    "Create a new page called 'Today's Standup' with my meeting notes"
    "Add today's progress update to my existing project timeline page"  
    "Create a weekly review page from my recent notes"

    🔍 Smart Research & Analysis

    code
    "Compare my notes on React vs Vue and highlight key differences"
    "Find all references to 'customer feedback' and summarize themes"
    "Create a knowledge map connecting related topics across pages"

    🧠 Semantic Search *(optional, requires vector setup)*

    code
    "Find everything I wrote about burnout, even if I didn't use that word"
    "What notes relate to my thoughts on deep work?"
    "Search across my Dutch and English notes for ideas about productivity"

    🤝 Meeting & Documentation Workflow

    code
    "Read my meeting notes and create individual task pages for each action item"
    "Get my journal entries from this week and create a summary page"
    "Search for 'Q4 planning' and organize all related content into a new overview page"

    💡 Key Benefits

    • Zero Context Switching: Claude works directly with your LogSeq data
    • Preserve Your Workflow: No need to export or copy content manually
    • Intelligent Organization: AI-powered page creation, linking, and search
    • Enhanced Productivity: Automate repetitive knowledge work
    • Semantic Vector Search *(optional)*: Find notes by meaning using local Ollama or hosted OpenAI-compatible embeddings
    • DB-mode Support *(opt-in)*: Read and write class properties on Logseq DB-mode graphs

    ---

    🚀 Quick Start

    Step 1: Enable LogSeq API

    1. Settings → Features → Check "Enable HTTP APIs server"

    2. Click the API button (🔌) in LogSeq → "Start server"

    3. Generate API token: API panel → "Authorization tokens" → Create new

    Step 2: Add to Claude (No Installation Required!)

    Claude Code

    bash
    claude mcp add mcp-logseq \
      --env LOGSEQ_API_TOKEN=your_token_here \
      --env LOGSEQ_API_URL=http://localhost:12315 \
      -- uv run --with mcp-logseq mcp-logseq

    Claude Desktop

    Add to your config file (Settings → Developer → Edit Config):

    json
    {
      "mcpServers": {
        "mcp-logseq": {
          "command": "uv",
          "args": ["run", "--with", "mcp-logseq", "mcp-logseq"],
          "env": {
            "LOGSEQ_API_TOKEN": "your_token_here",
            "LOGSEQ_API_URL": "http://localhost:12315"
          }
        }
      }
    }

    Step 3: Start Using!

    code
    "Please help me organize my LogSeq notes. Show me what pages I have."

    ---

    🔬 Vector Search (Optional)

    Semantic search over your Logseq graph using configurable embeddings — find notes by meaning, not just keywords. Searches across all your pages using vector similarity and full-text search combined, with cross-language support.

    Use Ollama for fully local embeddings, OpenAI, or another OpenAI-compatible embeddings endpoint. LanceDB remains local in every configuration. Hosted providers receive the note text being embedded.

    → **Full setup guide: VECTOR_SEARCH.md**

    ---

    🛠️ Available Tools

    The server provides 16 tools with intelligent markdown parsing, plus 3 optional vector search tools:

    ToolPurposeExample Use
    **list_pages**Browse your graph"Show me all my pages"
    **get_page_content**Read page content"Get my project notes"
    **create_page**Add new pages with structured blocks"Create a meeting notes page with agenda items"
    **update_page**Modify pages (append/replace modes)"Update my task list"
    **delete_page**Remove pages"Delete the old draft page"
    **delete_block**Remove a block by UUID"Delete this specific block"
    **update_block**Edit block content by UUID"Update this specific block text"
    **search**Find content across graph"Search for 'productivity tips'"
    **query**Execute Logseq DSL queries"Find all TODO tasks tagged #project"
    **find_pages_by_property**Search pages by property"Find all pages with status = active"
    **get_pages_from_namespace**List pages in a namespace"Show all pages under Customer/"
    **get_pages_tree_from_namespace**Hierarchical namespace view"Show Projects/ as a tree"
    **rename_page**Rename with reference updates"Rename 'Old Name' to 'New Name'"
    **get_page_backlinks**Find pages linking to a page"What links to this page?"
    **insert_nested_block**Insert child/sibling blocks"Add a child block under this task"
    **set_block_properties**Set DB-mode class properties on a block"Set the status of this block to active" *(DB-mode only)*
    **vector_search** ⚗️Semantic search by meaning"Find notes about shadow work or Jung"
    **sync_vector_db** ⚗️Sync vector DB with graph files"Update the search index"
    **vector_db_status** ⚗️Show vector DB health and staleness"Is my search index up to date?"

    ⚗️ *Requires vector search setup — see VECTOR_SEARCH.md*

    🎨 Smart Markdown Parsing (v1.1.0+)

    The create_page and update_page tools now automatically convert markdown into Logseq's native block structure:

    Markdown Input:

    `markdown
    ---
    tags: [project, active]
    priority: high
    ---
    
    # Project Overview
    Introduction paragraph here.
    
    ## Tasks
    - Task 1
      - Subtask A
      - Subtask B
    - Task 2
    
    ## Code Example

    def hello():

    print("Hello Logseq!")

    code
    // Code block

    Result: Creates properly nested blocks with:

    • ✅ Page properties from YAML frontmatter (tags, priority)
    • ✅ Hierarchical sections from headings (#, ##, ###)
    • ✅ Nested bullet lists with proper indentation
    • ✅ Code blocks preserved as single blocks
    • ✅ Checkbox support (- [ ] → TODO, - [x] → DONE)

    Update Modes:

    • **append** (default): Add new content after existing blocks
    • **replace**: Clear page and replace with new content

    🔁 Safe Retries & Large Writes

    create_page fails with a clear error if a page with the same title already exists, instead of letting Logseq silently create numbered duplicates (Page(1), Page 2, ...). This makes retries after a timeout safe: if a previous create_page call timed out but actually committed, the retry tells you the page exists rather than fragmenting your content across ghost pages.

    For large writes, prefer this pattern over one giant create_page call:

    1. Create the page with little or no content (create_page with just the title and properties)

    2. Append content in smaller chunks with update_page (mode: append)

    3. Read back with get_page_content to verify the result

    If you hit the "already exists" error mid-ingest, use get_page_content to see what landed, then continue with update_page instead of re-creating.

    ---

    ⚙️ Prerequisites

    LogSeq Setup

    • LogSeq installed and running
    • HTTP APIs server enabled (Settings → Features)
    • API server started (🔌 button → "Start server")
    • API token generated (API panel → Authorization tokens)

    System Requirements

    • **uv** Python package manager
    • MCP-compatible client (Claude Code, Claude Desktop, etc.)

    ---

    🔧 Configuration

    Environment Variables

    • **LOGSEQ_API_TOKEN** (required): Your LogSeq API token
    • **LOGSEQ_API_URL** (optional): Server URL (default: http://localhost:12315)
    • **LOGSEQ_API_CONNECT_TIMEOUT** (optional): HTTP connect timeout in seconds (default: 3)
    • **LOGSEQ_API_READ_TIMEOUT** (optional): HTTP read timeout in seconds (default: 6)
    • **LOGSEQ_DB_MODE** (optional): Set to true to enable DB-mode property support. Only for Logseq DB-mode graphs (beta). Markdown/file-based graph users should leave this unset.
    • **LOGSEQ_EXCLUDE_TAGS** (optional): Comma-separated tags — pages with these tags are hidden from all tools. See Privacy & Access Control below.
    • **LOGSEQ_INCLUDE_NAMESPACES** (optional): Comma-separated namespace allow-list (e.g. work,projects). When set, only pages in these namespaces and their sub-pages are accessible — everything else, including top-level pages without a namespace, is hidden from listings/search and denied on direct access. See Privacy & Access Control below.
    • **LOGSEQ_EXCLUDE_NAMESPACES** (optional): Comma-separated namespace deny-list (e.g. finance,work/secret). These namespaces are always blocked, taking priority over the include list. See Privacy & Access Control below.
    • **LOGSEQ_CONFIG_FILE** (optional): Path to a shared JSON config file holding the graph path, ACL defaults, and the vector block. Env vars (LOGSEQ_EXCLUDE_TAGS, LOGSEQ_INCLUDE_NAMESPACES, LOGSEQ_EXCLUDE_NAMESPACES) override the matching keys in this file.
    • **MCP_HTTP_AUTH_TOKEN** (required for --transport http): Bearer token clients must send as Authorization: Bearer . The server refuses to start in HTTP mode without it. See Serving over HTTP.

    Privacy & Access Control

    Pages tagged with excluded tags are completely hidden from AI — they won't appear in listings, searches, or queries, and attempting to read them directly returns an access-denied error.

    Quick setup via env var:

    bash
    LOGSEQ_EXCLUDE_TAGS=private,secret

    Via config file (also used for vector search):

    json
    {
      "logseq_graph_path": "/path/to/your/logseq/pages",
      "exclude_tags": ["private", "secret"]
    }

    Point to it with LOGSEQ_CONFIG_FILE=/path/to/config.json.

    In your Logseq pages, tag any page you want to protect:

    code
    tags:: private

    The exclusion applies to all tools: list_pages, get_page_content, search, query, and the optional vector search. If you also use vector search, exclude_tags at the root is automatically merged into the vector index exclusion list — private pages are never embedded.

    Namespace access control

    You can restrict access to specific namespaces using LOGSEQ_INCLUDE_NAMESPACES and LOGSEQ_EXCLUDE_NAMESPACES.

    Include list (strict allow-list): Only the listed namespaces and their sub-pages are visible; everything else is hidden.

    bash
    LOGSEQ_INCLUDE_NAMESPACES=work,projects

    Exclude list (deny-list): The listed namespaces are always blocked, even if they appear in the include list.

    bash
    LOGSEQ_EXCLUDE_NAMESPACES=work/secret,finance

    Via config file:

    json
    {
      "include_namespaces": ["work", "projects"],
      "exclude_namespaces": ["work/secret", "finance"]
    }

    Matching is segment-based and case-insensitive: work matches work and work/projects but not workshop. The behavior mirrors LOGSEQ_EXCLUDE_TAGS: list/search results silently omit blocked pages; direct read, write, delete, and block operations return an access-denied error.

    Access control is enforced at the page level and applied across every tool: list/search/query results omit blocked pages, direct page/block access and backlinks are denied, and vector search is filtered. Block-level results from search and query are resolved back to their owning page, so a block belonging to a restricted page is filtered out of those results too.

    Index-time namespace scoping (vector DB only). The keys above are *query-time*: every page is embedded, and blocked ones are filtered out of each response. For the vector DB you can also scope at *index time* — decide which namespaces are embedded into the DB at all — with include_namespaces / exclude_namespaces inside the vector block of the config file:

    json
    {
      "vector": {
        "enabled": true,
        "include_namespaces": ["work"],
        "exclude_namespaces": ["work/secret"]
      }
    }

    This is global (it shapes the shared DB for every consumer), and it keeps unwanted content off disk entirely rather than filtering it on read — useful for secrets you never want embedded, or to keep the index small when everyone only cares about a subset. Matching is the same segment-based, case-insensitive rule. Because it changes what the index contains, it only takes effect after a full re-index: logseq-sync --rebuild.

    🌐 Serving over HTTP, multi-profile & TLS

    By default the server speaks stdio — your client spawns it as a subprocess, and most users need nothing more. To serve sandboxed or remote clients over the network, mcp-logseq can run as a long-lived HTTP service with bearer auth, per-profile isolation, and TLS:

    bash
    mcp-logseq --transport http --host 127.0.0.1 --port 12320   # requires MCP_HTTP_AUTH_TOKEN

    The full deployment guide — the server-side security model, the per-profile multi-instance pattern, the separate **logseq-sync writer, and native TLS / reverse-proxy setup — lives in docs/SERVING.md**. Non-loopback binds over plain HTTP are refused unless you supply TLS or pass --insecure.

    Alternative Setup Methods

    Using .env file

    bash
    # .env
    LOGSEQ_API_TOKEN=your_token_here
    LOGSEQ_API_URL=http://localhost:12315

    System environment variables

    bash
    export LOGSEQ_API_TOKEN=your_token_here
    export LOGSEQ_API_URL=http://localhost:12315

    ---

    🔍 Verification & Testing

    Test LogSeq Connection

    bash
    uv run --with mcp-logseq python -c "
    from mcp_logseq.logseq import LogSeq
    api = LogSeq(api_key='your_token')
    print(f'Connected! Found {len(api.list_pages())} pages')
    "

    Verify MCP Registration

    bash
    claude mcp list  # Should show mcp-logseq

    Debug with MCP Inspector

    bash
    npx @modelcontextprotocol/inspector uv run --with mcp-logseq mcp-logseq

    ---

    🐛 Troubleshooting

    Common Issues

    "LOGSEQ_API_TOKEN environment variable required"

    • ✅ Enable HTTP APIs in Settings → Features
    • ✅ Click 🔌 button → "Start server" in LogSeq
    • ✅ Generate token in API panel → Authorization tokens
    • ✅ Verify token in your configuration

    "spawn uv ENOENT" (Claude Desktop)

    Claude Desktop can't find uv. Use the full path:

    bash
    which uv  # Find your uv location

    Update config with full path:

    json
    {
      "mcpServers": {
        "mcp-logseq": {
          "command": "/Users/username/.local/bin/uv",
          "args": ["run", "--with", "mcp-logseq", "mcp-logseq"],
          "env": { "LOGSEQ_API_TOKEN": "your_token_here" }
        }
      }
    }

    Common uv locations:

    • Curl install: ~/.local/bin/uv
    • Homebrew: /opt/homebrew/bin/uv
    • Pip install: Check with which uv

    Connection Issues

    • ✅ Confirm LogSeq is running
    • ✅ Verify API server is started (not just enabled)
    • ✅ Check port 12315 is accessible
    • ✅ Test with verification command above

    ---

    👩‍💻 Development

    For local development, testing, and contributing, see **DEVELOPMENT.md**.

    ---

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