Logseq
Enables AI agents to interact with a local Logseq instance via the Model Context Protocol (MCP).
About
Logseq is a suite of Model Context Protocol (MCP) tools designed to allow AI agents to communicate and manipulate data within a local Logseq graph. By enabling the Logseq API and configuring the MCP server, users can leverage AI assistants like Cursor and Claude to perform tasks such as creating pages, managing blocks, searching for content, and organizing information within their Logseq knowledge base.
Key Features
- Supports creating, retrieving, updating, and deleting pages and blocks.
- Enables programmatic interaction with Logseq graphs.
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- Facilitates the organization and manipulation of information within Logseq using AI.
- Compatible with Cursor and Claude AI assistants.
- Allows AI agents to search for specific blocks within Logseq.
Use Cases
- Creating dynamic content and summaries within Logseq using AI.
- Integrating Logseq data with AI-powered workflows.
- Automating note-taking and organization within Logseq using AI agents.
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