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465,730 tools. Updated 2026-08-19 05:57

"A Python library for visualizing neural networks" matching MCP tools:

  • Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.
    MIT
  • Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.
    MIT
  • Execute Python code for data science tasks like web scraping, data analysis, visualization, and machine learning with automatic library management.
    MIT
  • Remove unused Docker networks with no active containers. Use filters to target networks by age or label, keeping built-in networks intact.
    MIT
  • Retrieve the full list of blockchain networks that deBridge supports for cross-chain token swaps. Use this tool to verify chain availability before initiating a transfer.
    MIT

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  • Verified doc corpora for agents: grep-first retrieval, hashed pages, Merkle+RFC-3161 receipts

  • Launch Library 2 MCP — global rocket launch data

  • Generate executable Python code for nonlinear programming, rootfinding, ODE/DAE simulation, and optimal control, with an explanation of the approach.
    MIT
  • Get a list of all blockchain networks supported by Codex to know which chains are available for data retrieval and integration.
    ISC
  • Find documents in a Tropicalia project using hybrid, neural, or keyword retrieval, with optional AI answers and source citations.
    MIT
  • Search Jina AI's official blog for articles about AI, machine learning, neural search, embeddings, and Jina products to find documentation, tutorials, announcements, and technical deep-dives.
    Apache 2.0
  • Retrieve per-family default networks for USDD protocol to identify network configurations across TRON, Ethereum, and BSC.
    MIT
  • Retrieve cryptocurrency wallet balances across multiple blockchain networks by providing a wallet address. Specify networks or query all supported chains to view asset holdings.
    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
  • Find information across web, academic sources, or library documentation with configurable search actions. Returns titles, URLs, and snippets; use extract for full page content.
    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