productivity

LogSeq

dailydaniel

by dailydaniel

Integrate LogSeq for automated note-taking, knowledge graph analysis, and workflow automation. Boost productivity for de

Integrates with LogSeq API to enable automated note-taking, knowledge graph analysis, and workflow automation for developers and knowledge workers.

github stars

32

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct LogSeq API integrationRequires local LogSeq instance

best for

  • / Knowledge workers automating note organization
  • / Developers building LogSeq integrations
  • / Researchers managing large knowledge bases
  • / Teams standardizing documentation workflows

capabilities

  • / Create and edit LogSeq pages programmatically
  • / Insert and modify blocks within pages
  • / Retrieve page details and content
  • / Manage LogSeq knowledge graph structure
  • / Automate note-taking workflows
  • / Organize information with custom properties

what it does

Connects LLMs to your LogSeq knowledge base for automated note creation and organization. Allows programmatic interaction with LogSeq pages, blocks, and knowledge graphs.

about

LogSeq is a community-built MCP server published by dailydaniel that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate LogSeq for automated note-taking, knowledge graph analysis, and workflow automation. Boost productivity for de It is categorized under productivity.

how to install

You can install LogSeq in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

LogSeq is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Logseq MCP Server

A Model Context Protocol server that provides direct integration with Logseq's knowledge base. This server enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.

<a href="https://glama.ai/mcp/servers/@dailydaniel/logseq-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@dailydaniel/logseq-mcp/badge" alt="Logseq Server MCP server" /> </a>

Usage with Claude Desktop

{
  "mcpServers": {
    "logseq": {
      "command": "uvx",
      "args": ["mcp-server-logseq"],
      "env": {
        "LOGSEQ_API_TOKEN": "<YOUR_KEY>",
        "LOGSEQ_API_URL": "http://127.0.0.1:12315"
      }
    }
  }
}

If you have errors, use 0.0.1 version:

{
  "mcpServers": {
    "logseq": {
      "command": "uvx",
      "args": ["mcp-server-logseq==0.0.1"],
      "env": {
        "LOGSEQ_API_TOKEN": "<YOUR_KEY>",
        "LOGSEQ_API_URL": "http://127.0.0.1:12315"
      }
    }
  }
}

Available Tools

Block Operations

  • logseq_insert_block - Create new blocks in Logseq Parameters:

    • parent_block (string): Parent block UUID or page name
    • content (string, required): Block content
    • is_page_block (boolean): Create as page-level block
    • before (boolean): Insert before parent block
    • custom_uuid (string): Custom UUIDv4 for block
  • logseq_edit_block - Enter block editing mode Parameters:

    • src_block (string, required): Block UUID
    • pos (number): Cursor position
  • logseq_exit_editing_mode - Exit editing mode Parameters:

    • select_block (boolean): Keep block selected

Page Operations

  • logseq_create_page - Create new pages Parameters:

    • page_name (string, required): Page name
    • properties (object): Page properties
    • journal (boolean): Create as journal page
    • format (string): Page format (markdown/org)
  • logseq_get_page - Get page details Parameters:

    • src_page (string, required): Page identifier
    • include_children (boolean): Include child blocks
  • logseq_get_all_pages - List all pages Parameters:

    • repo (string): Repository name

Content Retrieval

  • logseq_get_current_page - Get active page/block Parameters: None

  • logseq_get_current_blocks_tree - Current page's block hierarchy Parameters: None

  • logseq_get_editing_block_content - Get content of active block Parameters: None

  • logseq_get_page_blocks_tree - Get page's block structure Parameters:

    • src_page (string, required): Page identifier

Prompts

logseq_insert_block

Create a new block in Logseq Arguments:

  • parent_block: Parent block reference (page name or UUID)
  • content: Block content
  • is_page_block: Set true for page-level blocks

logseq_create_page

Create a new Logseq page Arguments:

  • page_name: Name of the page
  • properties: Page properties as JSON
  • journal: Set true for journal pages

Installation

Using pip

pip install mcp-server-logseq

From source

git clone https://github.com/dailydaniel/logseq-mcp.git
cd logseq-mcp
cp .env.example .env
uv sync

Run the server:

python -m mcp_server_logseq

Configuration

API Key

  1. Generate API token in Logseq: API → Authorization tokens
  2. Set environment variable:
export LOGSEQ_API_TOKEN=your_token_here

Or pass via command line:

python -m mcp_server_logseq --api-key=your_token_here

Graph Configuration

Default URL: http://localhost:12315 To customize:

python -m mcp_server_logseq --url=http://your-logseq-instance:port

Examples

Create meeting notes page

Create new page "Team Meeting 2024-03-15" with properties:
- Tags: #meeting #engineering
- Participants: Alice, Bob, Charlie
- Status: pending

Add task block to existing page

Add task to [[Project Roadmap]]:
- [ ] Finalize API documentation
- Due: 2024-03-20
- Priority: high

Create journal entry with first block

Create journal entry for today with initial content:
- Morning standup completed
- Started work on new authentication system

Debugging

npx @modelcontextprotocol/inspector uv --directory . run mcp-server-logseq

Contributing

We welcome contributions to enhance Logseq integration:

  • Add new API endpoints (page linking, query support)
  • Improve block manipulation capabilities
  • Add template support
  • Enhance error handling

FAQ

What is the LogSeq MCP server?
LogSeq is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for LogSeq?
This profile displays 38 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.538 reviews
  • Kwame Malhotra· Dec 24, 2024

    Strong directory entry: LogSeq surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Anaya White· Dec 16, 2024

    LogSeq is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Chaitanya Patil· Dec 4, 2024

    LogSeq is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Nov 23, 2024

    We evaluated LogSeq against two servers with overlapping tools; this profile had the clearer scope statement.

  • Noah Johnson· Nov 15, 2024

    I recommend LogSeq for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Hassan Sanchez· Nov 7, 2024

    According to our notes, LogSeq benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Isabella Jackson· Nov 7, 2024

    Useful MCP listing: LogSeq is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Mia Park· Oct 26, 2024

    We wired LogSeq into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Lucas Jackson· Oct 26, 2024

    We evaluated LogSeq against two servers with overlapping tools; this profile had the clearer scope statement.

  • Shikha Mishra· Oct 14, 2024

    Useful MCP listing: LogSeq is the kind of server we cite when onboarding engineers to host + tool permissions.

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