Logseq MCP Server
Description
The Logseq MCP Server is a server-side application designed for local use with the Model Context Protocol (MCP) using the @modelcontextprotocol/sdk. It provides backend support for Logseq-related operations and utilizes modern JavaScript features with ES modules.
Features
- Integration with the Model Context Protocol (MCP) via @modelcontextprotocol/sdk.
- REST API support using axios.
- Environment variable management with dotenv.
- Logging capabilities powered by winston.
Links & Contact
Recommended Servers
Podbean MCP Server is a management tool that connects any MCP-compatible AI assistant to the Podbean API, allowing users to manage their podcasts, episodes, and analytics through natural conversation.
PayAI MCP Server is a Model Context Protocol server designed for the PayAI network, allowing integration with various platforms like Claude Desktop and Cursor IDE.
Yokai MCP Template is a server template based on the Yokai Go framework, designed to facilitate the development of Model Context Protocol (MCP) servers.
This project is a minimal implementation of a Model Context Protocol (MCP) server designed for deployment on Netlify, providing tools and resources for AI assistants through the Model Context Protocol.
Redshift MCP Server is a Model Context Protocol (MCP) server for Amazon Redshift that enables AI assistants to interact with Redshift databases, providing a set of tools for database management and query execution.
Codehooks.io MCP Server is a Model Context Protocol server that facilitates interaction with Codehooks.io projects through AI agents like Claude.
Zillow MCP Server is a Model Context Protocol server that provides real-time access to Zillow real estate data, built with Python and FastMCP.
Tecton MCP (Model Context Protocol) is a server that provides tools for interacting with Tecton, facilitating feature engineering in machine learning workflows.
Pangea MCP Proxy is a security tool designed to protect any MCP server from malicious entities and confidential Personally Identifiable Information (PII). It secures existing MCP stdio-based servers by integrating with the Pangea AI Guard service, which safeguards inputs and outputs from harmful content.