# Language model

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes various types of server implementations covering multiple domains such as file systems, databases, Git, and Slack, demonstrating the diversity and scalability of MCP.

AI00 RWKV Server is an efficient inference API server based on the RWKV language model, supporting Vulkan acceleration and OpenAI-compatible interfaces.

The API-MARKET MCP Server is a model context protocol server that exposes over 200 API endpoints from API-Market as MCP resources, enabling large language models to discover and interact with them through the MCP protocol.

This project is an implementation of an MCP server based on ODBC, providing large language models with the ability to transparently access ODBC data sources through TypeScript and node - odbc. It supports multiple database management systems, including Virtuoso, and provides a rich set of tools for data query and management.

This project converts the National Institute of Korean Language Standard Korean Dictionary API into an MCP protocol server, enabling large - language models to access and utilize Korean dictionary information.

Laravel - MCP - Server is a Model Context Protocol (MCP) server package for Laravel applications, supporting the registration of tools and prompts for interacting with language models.

The Model Context Protocol (MCP) is a lightweight framework for real-time management and sharing of context memory between language models.

Specification for language model providers in AI SDK

This project is a collection of reference implementations for the Model Context Protocol (MCP), including MCP server implementations for various tools and services, aiming to provide secure and controllable access to tools and data sources for large language models (LLMs).