This project demonstrates an example implementation of the Model Context Protocol (MCP), which is a standardized protocol for enhancing the capabilities of AI assistants and extending their functionality through custom tools and data sources. The project includes multiple MCP server examples, such as task managers, file explorers, and weather services, and provides guidelines on how to set up and use these servers.

1scan is a blockchain explorer API gateway and MCP server that provides a unified interface to integrate multi - chain explorer APIs and supports AI assistants to directly query blockchain data through the MCP protocol.

The Radio France Podcast Explorer MCP service is a model control protocol server that allows AI assistants to search and browse Radio France podcasts, audio replays, and other content. It provides functions such as topic - based podcast search, radio program information retrieval, and categorical content browsing.

The MCP server for Azure Data Explorer provides a standardized interface for AI assistants to execute KQL queries and explore data. It supports database resource discovery, query execution, multiple authentication methods, and Docker containerization.