This project implements an MCP server based on pyATS and Genie, providing structured, model-driven network device interaction capabilities through the JSON-RPC 2.0 protocol. It supports the secure execution of CLI commands, configuration changes, and data collection, and is suitable for containerized or LangGraph integration scenarios.

This project implements a Model Context Protocol (MCP) server, exposing the Databricks Genie API functionality as a tool. It supports querying Databricks data in natural language and can be integrated with MCP clients such as Claude Desktop.

Test Genie MCP is an AI-driven multi-platform application test automation MCP server that supports iOS, Android, Flutter, React Native, and Web applications, providing a complete test process from scenario generation, test execution, issue detection to repair suggestions and automatic repair.