A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
A Python implementation of the Model Context Protocol that allows applications to provide standardized context for LLMs, enabling creation of servers that expose data and functionality to LLM applications through resources, tools, and prompts.
A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.
A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.
A Model Context Protocol server that allows LLMs to interact with web content through standardized tools, currently supporting web scraping functionality.