MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
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This project is a Node.js application designed for use with Claude Desktop. It simulates a CO2 sensor device and provides a JSON-RPC server to interact with the device. The application can run in both simulation mode and real mode, where it connects to a Raspberry Pi Pico via USB.
This project provides a central gateway to manage multiple MCP (Model Context Protocol) servers, preventing the need to configure and run duplicate server processes for each LLM client (like Cline, Cursor, etc.). Connect your LLM client to the single gateway-client endpoint
Build structured intent specs through Socratic AI conversation (zero-config), or connect to your Pathmode workspace for strategic context, dependency graphs, and team governance. v1.5.0 ships with a Claude Code skill pack—7 auto-triggering skills (compile-intent, grill-intent,
Integrate Claude AI with .NET Web API using Model Context Protocol (MCP). This example shows how to connect a .NET MCP server and ASP.NET Core Web API for real-time data exchange. Ideal for developers building Claude AI plugins, assistants, or chatbots with live backend support.
MCP transforms the Nanostores state layer from a collection of disparate files into a clear dependency map — enabling LLM and you to understand the architecture and helps spend less time mapping out dependencies and more time on actual architectural solutions, especially in large projects.
OtterBridge is a lightweight, flexible server for connecting applications to various Large Language Model providers. Following the principles of simplicity and composability outlined in Anthropic's guide to building effective agents, OtterBridge provides a clean interface to LLMs
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
