MCP Servers

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 TypeScript-based MCP server allows delegating tasks and offloading context windows by calling other MCP clients, enabling parallel and map-reduce execution of tasks, and acting as an agent for your agent.

This repository provides a simple implementation of an MCP server using iFlytek, enabling the execution of iFlytek workflows through MCP tools for intelligent workflow scheduling in various business scenarios.

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 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 an MCP server for a virtual travel avatar on Google Maps, allowing users to instruct the avatar and receive progress updates with photos, even supporting platforms like LibreChat.

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.

This repository provides an MCP server that allows AI assistants to access and query college football statistics from the College Football Data API, enabling comprehensive data analysis and insights.

This repository houses the Model Context Protocol (MCP) server implementation for the EduBase platform, enabling MCP clients and LLMs to interact with EduBase accounts and perform tasks. This repository houses

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.

The thirdweb AI repository offers tools for blockchain data analysis, wallet management, and AI agent interaction, featuring Insight for data, Engine for operations, and Nebula for natural language interactions, simplifying blockchain tasks.

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 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.

This repository provides an MCP server that connects Claude to Audiense Insights, enabling marketing insights and audience analysis from Audiense reports, including demographic, cultural, and influencer data. This repository provides

EasyMCP is a user-friendly client for the Model Context Protocol, enabling connection to SSE, NPX, and UV servers for interacting with various tools and integrating with the OpenAI API for