Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

OtterBridge is a lightweight MCP server used to connect applications with multiple large language model providers, supporting models such as Ollama, with a simple and flexible design.

MCP-Memos is a memo tool based on the MCP protocol, designed specifically for developers. It supports quick recording and retrieval of text information without switching applications. It uses large language models to provide powerful fuzzy search capabilities, including semantic understanding, context awareness, and natural language query functions.

The Baidu Cloud Vector Database MCP Server is a server that provides access to the functionality of Baidu Cloud Vector Database, supporting cooperation with multiple large language model applications.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

This project implements a ClickHouse MCP server for seamless integration of the ClickHouse database with AI applications such as large language models (LLMs), supporting functions such as querying databases and obtaining table structures.

The Wanaku MCP router is an AI application router based on the Model Context Protocol (MCP), aiming to standardize the way applications provide context to large language models (LLMs).

A Model Context Protocol (MCP) tool implemented in Python, used to handle communication between applications and large language models (LLMs), and obtain the exchange rates of specified currencies against the Swedish Krona through the Riksbanken API.

The openEuler MCP Servers repository is a repository for storing various MCP Servers, aiming to call various applications through the general large model context protocol (MCP) to expand the capabilities of large models, especially in the operating system field.

This project provides a series of Model Context Protocol (MCP) server implementations based on the Quarkus framework, used to extend the capabilities of large language model (LLM) applications that support MCP. It includes various services such as JDBC databases, file systems, JavaFX drawing, Kubernetes, and containers.

A minimalist implementation of the Model-Context-Protocol (MCP) pattern for building scalable applications absorbable by Large Language Models (LLMs).

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

AytchMCP is a model context protocol server for Aytch4K applications, supporting interactions with multiple large language models and including functions such as resource management, tool components, and protocol processing.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

The Squad MCP server is a protocol service that connects the Squad product discovery platform with large language model applications, providing a rich toolset for creating, querying, and updating product strategy artifacts directly from an AI assistant.

This project is a server - side based on the Model Context Protocol (MCP), providing a bridge for the Brandfetch API, enabling large language model (LLM) applications to search for brands and obtain detailed information.