# Logseq MCP Server

> Use this tool when you need to programmatically interact with Logseq knowledge graphs, enabling large language models (LLMs) to create and manage pages and blocks. It solves problems of automated knowledge graph management and integration with AI systems, providing a server-based interface for inputs like API calls and outputs like graph updates. Ideal for use cases where LLMs require dynamic interaction with Logseq graphs, such as automated content generation or knowledge base updates.

Canonical page: https://skillsregistry.net/skills/dailydaniel-logseq-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dailydaniel-logseq-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/amdgzmmv3r)
- **Repository:** <https://github.com/dailydaniel/logseq-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dailydaniel-logseq-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dailydaniel-logseq-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dailydaniel-logseq-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt