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458,064 tools. Updated 2026-08-14 22:15

"A service for finding modern and well-maintained Python packages for solving problems" matching MCP tools:

  • Search Open Build Service (OBS) for packages and retrieve project, repository, and description details. Use for finding community-maintained software not in official repositories.
    GPL 3.0
  • Execute bash commands within the sktime container to install Python packages or inspect files.
    BSD 3-Clause
  • Execute Python/SymPy code to perform symbolic mathematics operations including algebra, calculus, and equation solving within a secure sandbox environment.
    MIT
  • Verify the MCP server's Python environment, including executable path, version, and installed packages, to ensure correct setup and troubleshoot missing dependencies.
    BSD 3-Clause

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  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Search for NPM or Python packages by name to get repository URLs, check deprecation status, and compare alternatives. Returns direct links to source code for further exploration.
    TypeScript
    MIT
  • Retrieve Conda installation details and environment information to diagnose Python configuration issues and understand system setup.
    MIT
  • Check maintenance health of indie developer tools by analyzing GitHub activity, commit dates, and open issues. Identify stale or archived dependencies and discover actively maintained alternatives for your tech stack.
    MIT
  • Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.
    MIT
  • Inspect the Python environment in TouchDesigner to check version, installed packages, and environment manager status.
    MIT
  • Execute Python or JavaScript code in a secure sandbox. Install packages via comma-separated list and retrieve stdout, stderr, and error details.
    Apache 2.0
  • Fetch COPT example code for LP, MIP, SOCP, or NLP problems in Python to ensure accurate implementation before solving.
    MIT
  • Check Python code before writing to catch references to non-existent packages, methods, and helpers. Get blocked references and the real API for each incorrect usage.
    MIT