Logseq MCP Tools

Enables AI agents to seamlessly interact with a local Logseq instance via Model Context Protocol, providing comprehensive tools for managing pages, blocks, and journal entries through API integration.

Model Context Protocol server enabling seamless integration with Logseq knowledge bases, allowing LLMs to programmatically create and manage pages, blocks, and organize information within Logseq graphs.

Provides AI assistants structured access to Logseq knowledge graphs via Model Context Protocol, enabling page retrieval, content access, journal summarization, page creation, search, and backlink exploration.

Enables seamless interaction with LogSeq via its API, offering tools to list graphs and pages, retrieve and search page content, and create, update, or delete pages using the Model Context Protocol.

Enables seamless integration between AI agents and Windows OS via Model Context Protocol, providing capabilities like file navigation, application control, UI interaction, and automation without relying on computer vision, supporting any LLM with lightweight, open-source tools.