logseq
The Logseq Model Context Protocol (MCP) server enables AI assistants like Claude to seamlessly integrate with the Logseq note-taking and knowledge management application. It provides a standardized interface for AI models to access and manipulate Logseq data, allowing developers to build custom integrations that leverage Logseq's features and content within their AI applications.
Installation Instructions
Get started with logseq in your project
Install via npm
npm install logseq-mcpOr with yarn
yarn add logseq-mcpRelated Servers
@heroku/mcp server
The @heroku/mcp-server is a platform server that enables AI assistants like Claude to integrate with Heroku's Metrics and Correlation Protocol (MCP) service. It provides a standardized way for AI applications to access and analyze performance metrics and data from Heroku-hosted applications, allowing developers to build more robust and data-driven AI systems.
@cap js/mcp server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
@dynatrace oss/dynatrace
Model Context Protocol (MCP) server for Dynatrace