MCP server for Dataiku DSS REST APIs, enabling flow analysis and day-to-day operations on projects, datasets, recipes, jobs, scenarios, folders, variables, connections, and code environments.
Enables dynamic creation and code generation of MCP servers using FastMCP, with tools for adding custom tools, resources, and generating runnable Python code.
A Docker-based FastMCP server for dynamic Python code execution with support for multiple MCP clients, automatic validation, runtime installation, and browser automation.
A Model Context Protocol server framework featuring dynamic tool loading and automatic tool discovery from a dedicated directory. It leverages FastMCP to provide a robust environment for building, configuring, and testing individual Python-based tools.
A FastMCP server that exposes REST API endpoints as Model Context Protocol tools for AI agents. It provides a template for wrapping upstream APIs and includes deployment support for Docker and OpenShift.