Why this server?
Enables LLMs to understand and analyze code structure through function call graphs, allowing AI assistants to explore relationships between functions and analyze dependencies in Python repositories.
Why this server?
Enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
Why this server?
Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.
Why this server?
An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.
Why this server?
A Python server that enables AI assistants to perform hybrid search queries against Apache Solr indexes through the Model Context Protocol, combining keyword precision with vector-based semantic understanding.
Why this server?
This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.