"How to run Python code" matching MCP servers:

An MCP server that recommends UI components and utility methods from private code repositories using AI to enhance code reuse and development efficiency.

Connects Kimi Code with Claude Code, enabling Claude to delegate bulk codebase reading to Kimi (256K context) for cost savings, while Claude focuses on reasoning and code edits.

Enables planning with Claude Code and high-speed code generation using Cerebras, avoiding API limits while producing quality code with visual diffs.

Exposes structured code generation tools via MCP protocol, enabling users to generate production-grade Python functions, refactor buggy code, and create multi-function modules using local or cloud-based OpenAI-compatible APIs.

MCP server integrating Telegram bot with Qwen Code for AI chat, supporting persistent sessions, group chat, and advanced features via mention-based triggers.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Lets agents run a small JavaScript program in a sandboxed worker that composes typed Jev judgments — claim checking, text screening, best-item picking, label classification, passage comparison, and yes/no questions — in a single call, returning only schema-validated results. A companion search tool exposes each judgment's JSON input and output schemas.

A Python MCP server that exposes local Ollama models as tools for AI assistants, enabling chat, generation, embeddings, and model management without cloud APIs.

MCP server for executing Python code on CoCalc cloud projects. It enables any MCP-compatible assistant to run Python and machine-learning workloads remotely on CoCalc infrastructure without local GPU requirements.

Standalone MCP server for code structure analysis using tree-sitter. Directory trees, symbol definitions, and call graphs without reading raw source files. Supports Rust, Python, Go, Java, TypeScript, Fortran, JavaScript, C/C++, and C#. Benchmarked up to 68% fewer tokens vs native tools.

Claude Code token usage and cost visibility for MCP-capable agents.

Enables Claude Code agents to perform structured decision-making through TypeSafe Jev, supporting yes/no checks, route selection, scoring, and batched multi-question judgments with confidence values.

A multi-persona code review tool that leverages AI agents with distinct expertise (Codex, Toxic Architect, Accessibility Expert) to analyze code quality through the Model Context Protocol.

An MCP server for automatic code review using OpenRouter, enabling performance, clean code, SOLID, async, error handling, and security analysis with direct file modification.

Enables MCP clients to run 600+ generative AI models from fal.ai, including image, video, audio, and text, with tools for synchronous and asynchronous execution, model catalog browsing, and schema inspection.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

An MCP server that enables Claude Code to generate images and short videos using Google's Gemini API (Imagen 4 for stills, Veo 3.1 for video). It integrates directly into development workflows, allowing AI assistants to create visual assets and reference them in code without context switching.

MCP server exposing statistical regression testing for LLM agents as a "run" tool: p-value, effect size, and confidence interval on whether agent behavior actually changed.

Lets Claude Code delegate coding tasks to external models running on a local opencode serve, preserving main agent tokens for planning and review.

A code-execution MCP server for Klaviyo and Shopify analytics, enabling safe JavaScript execution in a V8 sandbox with state persistence across calls.