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196,624 tools. Last updated 2026-06-12 15:25

"Tools and resources for Python development" matching MCP tools:

  • Generate realistic INSERT statements for development and testing that respect schema types, constraints, and foreign key relationships without executing.
    MIT
  • Submit a Python script for background execution in PFC. Get a task ID to poll progress, cancel, or modify variables mid-run using companion tools.
    MIT
  • Search Apify and Crawlee documentation using full-text search. Select the source: Apify platform, Crawlee JavaScript, or Crawlee Python.
    MIT
  • Statically audits MCP server Python files by enumerating tools registered via decorators and reporting security risks including shell execution, filesystem writes, network egress, and code injection.
    MIT

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  • Retrieves ComfyUI environment details: OS, Python, ComfyUI version, GPU/VRAM, plus local probes like git revision and torch/CUDA packages for troubleshooting.
    MIT
  • Connect to a nomos controller by name to access its tools and resources, automatically disconnecting any previously connected controller.
    MIT
  • Find the right contact channel for Everstake inquiries, including social media and company resources, with a routing guide for specific purposes.
    BSD 3-Clause
  • Report installed media binaries (ffmpeg, ffprobe, ImageMagick, whisper.cpp, Python, edge-tts) to know what operations are possible.
    MIT
  • Run Python code to sequentially call tools and return combined results for on-call health insights.
    Apache 2.0
  • Discover available Aptos development resources to identify relevant guidance for blockchain projects. Use this tool to explore options before selecting specific documentation.
    Apache 2.0
  • Initialize Next.js DevTools MCP context to mandate documentation-first development. Resets AI knowledge and ensures all queries use official Next.js docs.
    MIT
  • Create a full-stack decentralized application on Aptos blockchain with resources for Move smart contracts, project management, and frontend development.
    Apache 2.0
  • 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
  • Performs a complete diagnostic check of your iOS development environment, validating Xcode tools, simulators, runtimes, and disk space, returning actionable recommendations for any issues found.
    MIT
  • List all tools, resources, and prompts registered on the Dokploy MCP server to understand the full range of DevOps management capabilities.
    MIT