"Learning or Writing Code in Python" matching MCP servers:

Sandboxed Python execution with automatic dependency management. Executes Python scripts in isolated environments (bubblewrap or Docker) with PEP 723 inline dependencies, preventing host pollution.

Gemini-powered MCP server for automated code review, analysis, and documentation.

Provides CodeQL language intelligence to AI agents via MCP, enabling completions, hover, definitions, references, diagnostics, formatting, and in-memory file updates for QL code.

Enables AI agents to control NetEase Cloud Music playback, login, search, and get personalized recommendations through official APIs.

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.

Enables creating, inspecting, and stopping Google Colab sessions, executing Python code or files, retrieving session URLs, and reading logs through the local Colab CLI.

An MCP server that enables LLMs to execute Python code on GPU-accelerated compute nodes within SLURM-managed HPC environments. It bridges local clients to remote clusters by launching JupyterLab sessions via SLURM jobs to facilitate high-performance notebook-based computation.

A minimal NitroStack starter template with a calculator module including tools, resources, and prompts for learning MCP server fundamentals.

Run AI agents in Zulip as @mentionable bots — or wire into any MCP client.

A Model Context Protocol server that provides programmatic APIs for running mutation tests with mutmut, analyzing results, and improving test coverage in Python projects.

A minimal MCP server template with a calculator module, designed for learning NitroStack fundamentals. It includes tools, resources, prompts, and TypeScript validation.

Provides calculator tools, resources, and prompts for learning NitroStack fundamentals.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

A Python MCP server that provides language models full read/write access to a Node-RED instance through its Admin HTTP API, enabling flow management with structured Pydantic responses and incremental patching.

A minimal MCP server template for learning NitroStack, featuring a calculator module with tools, resources, and prompts for arithmetic operations.

Bridges a locally running coding agent to a Colab session in the browser, letting it inspect, edit, run, and export notebooks, execute ad-hoc Python, transfer files to and from the runtime, and poll or cancel background jobs.

A calculator-focused MCP server for learning NitroStack fundamentals, providing tools, resources, and prompts for basic arithmetic operations.

A minimal MCP server template for learning NitroStack, providing calculator-focused tools, resources, and prompts with TypeScript and Zod validation.

A Python MCP server that allows programmatic interaction to find torrents programmatically on YggTorrent and La Cale.

A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.

A Python MCP server that queries Spanish Cadastre services for non-protected cadastral data and exports parcel geometry in GML, GeoJSON, and IFC formats.

An MCP server that bridges local AI agents to Google Colab notebooks, enabling execution of Python code and interaction with notebook states directly from the agent.

A minimal MCP server template for learning NitroStack fundamentals, featuring a calculator module with tools, resources, and prompts.

A minimal MCP server template for learning NitroStack fundamentals, featuring a calculator module with tools, resources, and prompts.

Enables code execution in 70+ programming languages and databases through the Onecompiler API, allowing users to run and test code directly from their MCP-enabled applications.

Query PainSpotter to discover validated business opportunities and trending pain points mined from Reddit, Hacker News, and Product Hunt.

A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.

Enables querying git commit history to analyze when and why code changes happened, providing authorship context and diffs for specific modules.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Enables a Claude Code agent to drive Big Interview ResumeAI locally over stdio, exposing six tools for checking auth status, listing, starting, monitoring, retrieving feedback for, and deleting resume scans. Every call returns structured success or error payloads for reliable agent workflows.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.

MCP server that enables cloud models (like Gemini/Claude) to delegate coding tasks to a local llama.cpp server, preserving cloud usage limits through an AI-powered code review loop.

Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.

Enables Claude to speak in 70+ languages, including pronunciation, audio flashcards, and full language lessons with tutor personas.

MCP server for the Trading 212 public API, enabling account, portfolio, order, pie, and history access with read tools always available and trading tools opt-in.

Enables local agents to connect to and interact with Google Colab sessions running in the browser.

A multi-agent RAG MCP server that answers questions from your documents with a human-in-the-loop approval step, using a coordinator, retriever, and synthesizer agents.

MCP server for managing ParchMark notes via Claude Code/Desktop. Provides tools to list, get, create, update, and delete notes through natural language.

Enables AI agents to perform federated data transfers and remote code execution on HPC endpoints via Globus, wrapping the Globus CLI and Globus Compute SDK.