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524,517 tools. Updated 2026-09-06 16:13

"Resources for Coding in Python" matching MCP tools:

  • Execute Python code in a persistent IPython environment, preserving variables and state across runs for iterative coding tasks.
    MIT
  • List available coding standards profiles for various tech stacks to enforce consistent code style and architecture.
    MIT
  • Scan Python files in a directory to generate an import dependency graph, providing a structured map and Mermaid diagram for visualization.
    MIT

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  • 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
  • Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.
    MIT
  • Detect coding conventions in a project before adding new code, ensuring your changes align with established patterns.
    MIT
  • Retrieve detailed specifications for Auth Admin methods in the Supabase Python SDK, including names, parameters, types, and return values, to ensure correct usage in database management workflows.
    Apache 2.0
  • Refines vague coding requests into structured, agent-specific prompts by extracting requirements, filling edge cases, and running quality checks. Ideal for under-specified tasks before handing to a coding agent.
    MIT
  • Run arbitrary Python code in Blender's environment to automate tasks that no standard tool can handle. Use for custom scripting with full Blender API access.
    MIT
    Destructive
  • Retrieve cached version information for Python development tools including pip, poetry, and others in a specified directory.
    Apache 2.0
  • Retrieves a list of all Python documentation versions currently indexed. Quickly check which Python versions have docs available for lookup.
    MIT
  • Execute Python code in Autodesk Maya sessions, capturing results as JSON or raw text, with real-time output streaming via MCP resources.
    MIT
  • Scan a Python file for coding hazards: bare excepts, mutable default arguments, unawaited coroutines, and other common bugs.
    MIT