MCP Servers

Luke Desktop is a Tauri-based Claude Desktop alternative with MCP server support, built using React and TypeScript for optimal performance and enhanced security features, offering cross-platform compatibility. Luke Desktop is

This repository provides an MCP server for image generation using the Replicate Flux model, enabling users to generate images through Claude Desktop with either NPX or local installation, requiring a

This Rust SDK implements the Model Context Protocol, enabling applications to provide context for LLMs in a standardized way, offering both client and server capabilities for LLM integration.

This repository provides a simple example client for connecting to Model Context Protocol (MCP) servers over HTTP using Server-Sent Events, leveraging the official MCP Python SDK for protocol handling and server interaction.

MCP Server Box is a Python project integrating with the Box API for file operations like search, text extraction, and AI-based querying. It uses the Model Context Protocol to manage

This repository implements an MCP server for ZenML, enabling access to live information about ZenML resources like pipelines, artifacts, and users, and allowing triggering new pipeline runs. This repository implements

This repository hosts a Model Context Protocol (MCP) server that facilitates interaction with the World Bank's open data API, enabling AI assistants to list and analyze indicators for various countries.

This repository provides a server/client implementation using the Model Context Protocol (MCP) and Azure OpenAI, leveraging FastMCP and Playwright for testing. It bridges MCP responses to OpenAI function calling format

This repository provides a mcp server that bridges Dune Analytics data to AI agents, offering tools to fetch latest query results or execute queries by ID, returning data as CSV strings.

This repository provides an implementation of the Model Context Protocol (MCP) server, exposing tools powered by Integration App, using Actions defined in an Integration App workspace. This repository provides an

CereBro is a model-agnostic AI Agent Wrapper for .Net that supports the Model Context Protocol, allowing developers to write tools compatible with various AI models like OpenAI without code changes.

This repository provides an MCP server that interacts with the Hugging Face Dataset Viewer API, enabling users to browse, analyze, search, and access datasets hosted on the Hugging Face Hub.

This repository provides a client-server example using the Model Context Protocol (MCP), demonstrating how to connect large language models with tools and data. It includes implementations for BMI calculation and

This repository provides a Model Context Protocol (MCP) server for accessing Lightdash data. It enables AI assistants to interact with Lightdash through a standardized interface, offering tools to manage projects,

This repository provides a Model Context Protocol (MCP) server implementation for the Qwen Max language model, utilizing Node.js for stable integration with Claude Desktop. It supports installation via Smithery or manual setup.