"Latest Python Libraries and Their Purposes" matching MCP servers:

Enables coding agents to execute Python code, run script files, and install pip packages locally via MCP.

Simple sequential thinking MCP in python

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

Universal Python code execution MCP server that lets LLMs write and run Python for any task, with auto-install packages, streaming output, and automatic file display.

An MCP server that enables Claude to orchestrate multiple autonomous Claude Code agents working in parallel across different projects, with tools to dispatch, monitor, and manage their progress.

Enables AI agents to execute Python, TypeScript, and JavaScript code in persistent Jupyter kernels with stateful variables and imports across interactions.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

An MCP server that connects Gemini 2.5 Pro to Claude Code, enabling users to generate detailed implementation plans based on their codebase and receive feedback on code changes.

Provides read-only MCP tools for discovering UI libraries, recommending minimal compatible UI stacks, and auditing plans to enforce deterministic UI policy and quality gates for coding agents.

Enables multi-model code review by fanning out issues to multiple LLMs simultaneously, diffing their unique insights, optionally running debate rounds, and dispatching subagents to implement fixes with git commits.

Enables interaction with indexed Python repositories through MCP tools for repository map, symbol search, file reading, and reference lookup.

Enables engineers to convert antenna papers/diagrams and natural language specs into auditable, versionable HFSS Python modeling code, with optional simulation and parametric optimization.

An MCP server that lets coding agents ask their human via interactive UIs like sliders, forms, diffs, and live previews.

Enables AI agents to investigate and repair Python/pytest repositories in isolated Git worktrees with audit trails, without modifying the original repository.

Enables coding agents to open files and git diffs directly in VS Code, allowing users to review code changes without leaving their conversation.

Exposes a remote coding agent as MCP tools so an MCP client can delegate tasks, manage their lifecycle, and inspect the agent card, with permission decisions enforced inside the bridge.

This MCP server enables automated maintenance and code analysis for Python/pytest repositories in isolated Docker environments. It supports read-only investigations, fix-and-verify tasks, and provides full audit trails with SQLite event history and artifact exports.

Indexes local Python code into a Neo4j graph database to provide AI assistants with deep code understanding and relationship analysis. Enables querying code structure, dependencies, and impact analysis through natural language interactions.

dev-brain-mcp

An in-memory knowledge graph MCP server that gives coding agents structural and semantic recall over codebases by indexing Python source, ADR documents, and project configuration, exposing 7 tools for search, traversal, context retrieval, and natural-language Q&A.