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217,375 tools. Last updated 2026-06-20 16:19

"Testing subscribe functionality on a Python server" matching MCP tools:

  • Build custom Python tools by defining their name, purpose, and implementation code to extend server functionality.
    The Unlicense
  • Create a custom closed-testing track for an Android app by specifying package name, edit ID, and track ID. Sets a new track ID on the server for managed pre-release testing.
    MIT
  • Get Solidity code to subscribe to on-chain indicator alerts. Includes contract that approves LINK, subscribes, listens for events, and cancels for a refund.
    MIT
  • Subscribe to symbols on a live WebSocket channel for market data including crypto, forex, stocks, DEX trades, and DEX TVL. Buffers incoming ticks for retrieval.
    MIT

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  • Execute Python code for deterministic verification of math, logic, and code analysis using symbolic engines like SymPy and Z3.
    Apache 2.0
  • Retrieve ComfyUI server runtime logs to debug execution errors, model loading issues, missing nodes, and Python tracebacks. Filter by keyword or limit lines.
    MIT
  • Search for any Python package on PyPI. Returns version, summary, license, authors, dependencies, release dates, and more.
    MIT
  • Retrieve a paginated list of in-app messages with search functionality to locate messages by name, description, or campaign key, enabling efficient management of A/B test messages.
    MIT
  • Retrieve a paginated list of A/B test experiments with search functionality to filter by name, description, or experiment key, enabling streamlined data access and analysis.
    MIT
  • Retrieve paginated push message lists with search functionality to filter by name, description, or campaign key. Simplifies fetching and managing A/B test data in Hackle MCP.
    MIT
  • Subscribe to a Liveblocks thread to receive real-time updates and notifications about conversations in collaborative rooms.
    Apache 2.0
  • Subscribe to a Redis channel to listen for messages. Use for real-time notifications and event-driven data processing.
    MIT