Execute a single block of code using the local interpreter for quick calculations, data processing, or library calls.
MIT
568,513 tools. Updated 2026-09-14 20:47
"python" matching MCP tools:
- Execute Python code in an isolated Linux VM sandbox. Control timeout and sandbox selection for secure script execution.MIT
- Run custom Python code to inspect, validate, report on, and export IFC/BIM files, or create new ones.Apache 2.0
- Run Python code remotely in Unreal Engine environments using the MCP Unreal Server, enabling automated node discovery and management for efficient scripting and task execution.-
- Execute Python code in a sandbox to test scripts, process data, or run computations with configurable memory, timeout, and JSON parsing options.MIT
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
Matching MCP Servers
- FlicenseAqualityDmaintenanceExecute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.11-
- AlicenseAqualityCmaintenanceThis MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.9MIT
Matching MCP Connectors
Run Python code from natural language prompts, with optional PyPI package install.
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
- Return FreeCAD and bundled Python release numbers from the worker to verify runtime compatibility.Apache 2.0
- Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.MIT
- Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.MIT No Attribution
- Register a Python function with Globus Compute to enable remote execution. Then submit tasks to run the function on compute endpoints.Apache 2.0
- Execute Python code and retrieve output. Variables persist across runs for stateful workflows.MIT
- Retrieve Spark driver logs from completed notebook executions to debug Python errors and analyze Spark behavior. Use stdout for Python tracebacks or stderr for system logs.MIT
- Executes arbitrary Python code in a running TouchDesigner project via td_mcp bridge. Use for ad-hoc tasks not covered by structured live-control tools; requires the bridge's "Allow Python" flag to be enabled.MIT
- Execute Python code with full system access for data processing, file operations, API calls, and system automation. Returns output and result, with persistent state across calls.MIT
- Extract a structural outline from Python files—imports, classes, functions, docstrings—to simplify code review, navigation, and documentation.MIT
- Replace or insert Python docstrings on functions or classes without altering their body code.MIT
- Execute Python code with flexible execution modes including inline for speed and subprocess for isolation. Use to run Python scripts, test code snippets, or maintain session state across executions.MIT
- Report the execution environment status including Python and uv versions, platform, sandbox configuration, and cache.MIT
- Get Python executable path, version, and pip package list to diagnose environment issues or verify package installations.MIT
- Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.MIT
- Validate Python script metadata and dependencies without execution. Checks PEP 723 syntax, dependency format, and requires-python compatibility.MIT