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 repository provides a sample MCP server and client using Aspire, demonstrating MCP communication within a structured Aspire environment, including a Blazor Chat client and integration with LLMs for function calling.

This repository provides a Spring AI-based Model Context Protocol (MCP) client for interacting with MCP-supported servers, enabling AI chat interactions using Anthropic and OpenAI models. This repository provides a Spring

This repository provides an open-source ecosystem for the Model Context Protocol (MCP), enabling the development, discovery, and deployment of MCP servers and clients for secure AI integrations in enterprise environments.

This repository hosts the Dappier MCP server, connecting AI models to real-time, rights-cleared data from sources like web search, stock markets, and premium publishers, enabling AI expertise. This repository hosts

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.

Dynamic Shell Command MCP Server

📺 Control any smart TV with natural language. Play Netflix by name from your terminal. PyPI: stv · MCP server · LG/Samsung/Roku/Android

This repository demonstrates Model Context Protocol (MCP) integration using Pokemon data, featuring an MCP server and client, and an HTTP server enabling LLMs to utilize Pokemon tools via OpenRouter.

A fully featured C# implementation of Anthropic's Model Context Protocol (MCP)

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

Markdown-first MCP server for Notion API - composite tools optimized for AI agents

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

OmniMind: An open-source Python library for effortless MCP (Model Context Protocol) integration, AI Agents, AI workflows, and AI Automations. Plug & Play AI Tools for MCP Servers and Clients, powered

MCP server for Godot Engine - composite tools optimized for AI agents