MCP server for Python code execution and environment management

MCP server for Python code execution and environment management

MCP Python Interpreter: run python code. Python-mcp-server, mcp-python-server, Code Executor

A Model Context Server providing simple features to automate python script execution via LLMs.

PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.

A world-class Python interpreter MCP server with session management, health monitoring, and FastMCP middleware

Code Box is a self-hosted, open-source Model Context Protocol (MCP) server that provides AI agents with a secure, stateful environment to execute Python and JavaScript code. It acts as a direct, zero-cost replacement for Azure Assistants Code Interpreter by persisting variables across calls, and safely executing read-only SQL querys

Keep project decisions, evidence, outcomes and reviewed lessons in local SQLite. Retrieve bounded context through three MCP tools and inspect history in an offline HTML viewer. Codex hooks capture execution mechanically; interpretation and lesson acceptance remain explicit. Requires local Python 3.11+.

code-interpreter-agent MCP server by Nova (CIVAI), remote Streamable HTTP

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

Terse — an AI-native code language: a machine-designed, token-dense format for AI coding agents. Open source, Apache-2.0.

MCP Android agent - This project provides an *MCP (Model Context Protocol)* server for automating Android devices using uiautomator2. It's designed to be easily plugged into AI agents like GitHub Copilot Chat, Claude, or Open Interpreter to control Android devices through natural language.

Statistical test selection, assumption checks, and result interpretation

A lean Forth-2012 system in Rust, thriving on a two-stack diet. Sandboxed, with a dependency-free core. Runs in your browser, in your terminal, from Python and for AI agents through MCP.

MCP server for extracting recipes from PDFs or jpegs into structured HTML using OCR and LLM-assisted interpretation.

Мова програмування, яку пишуть і читають ШІ-агенти: гліфи замість слів, печатка дозволів, підписаний слід. Нативний виконавець на Rust — швидший за Python. Людям — чорний ящик, але ключ у власника: він бачить, що програмі дозволено, і має переклад кожної програми.

A stand-alone Mathematica-style symbolic math system: a from-scratch Rust kernel (exact arithmetic, pattern matching, CAS) plus a Python web notebook with SVG plots, an HTTP API, and an MCP server. No external crates or pip packages.

Cortex Core: Pi-side memory + overseer plugin. Local-first wearable AI memory: notes, sessions, projects, time tracking, plus a meta-honest interpretive overseer agent. Pet companion lives in cortex-pet.