MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

Didlogic MCP Server is a model context protocol server that implements the Didlogic API, providing a standardized interface for large language models to access Didlogic services, including balance management, SIP account management, call record query, and other functions.

The Qiniu Cloud MCP service is a model context protocol server built on Qiniu Cloud products, supporting AI large model clients to access Qiniu Cloud storage, intelligent multimedia services, and CDN functions.

The BigQuery MCP Server is a protocol server that provides Google BigQuery access services for large language models, supporting functions such as query execution, dataset management, and table structure analysis.

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

The DS Core MCP Server project is a medical data integration toolset based on the DS Core Open API platform, including four independent MCP servers for patient management, document management, DICOM image management, and digital impression management, enabling large language models to securely and conveniently access medical data and services.

This project is a collection of reference implementations of 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).

This project showcases multiple Model Context Protocol (MCP) servers integrated with Microsoft Azure, which enable large language models (LLMs) to securely access Azure tools and data sources, including AI agent services and various database services.

This repository collects MCP server projects related to Jewish culture, including access to Jewish classical texts (such as Sefaria and Otzaria), Jewish calendar calculations (Hebcal), and Israeli government data services. These projects enable large language models to access Jewish cultural resources and real-time data through the MCP protocol.

Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers for providing large language models (LLMs) with secure and controlled access to tools and data sources. The project includes various functional servers, such as file system operations, Git integration, database access, etc., and supports rapid development of new services through TypeScript and Python SDKs.

One API is an open-source project that provides a unified access interface to various large models through the standard OpenAI API format. It supports multiple large models and third-party proxy services, and has functions such as load balancing, token management, and user grouping. It is suitable for various deployment scenarios.

Qiniu Cloud MCP Service is a protocol server based on Qiniu Cloud products, supporting AI large model clients to access Qiniu Cloud's storage, intelligent multimedia, and CDN services through this service.

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).

The Wangsu Cloud MCP Server project is built on the Model Context Protocol (MCP), supporting access to Wangsu Cloud storage and intelligent multimedia services through AI large model clients.