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519,423 tools. Updated 2026-09-06 07:28

"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
  • Generate technical diagrams from pre-built TikZ templates for control systems, neural networks, state machines, and other complex visualizations by providing custom parameters.
    MIT
  • Execute Python code for data science tasks like web scraping, data analysis, visualization, and machine learning with automatic library management.
    MIT
  • Fetch Flywheel gear Python library documentation to build and debug gears. Get direct access to relevant docs, reducing context overload during development.
    -
  • Remove unused Docker networks with zero connected containers, excluding built-in networks. Use filters to target specific networks by creation time or labels.
    MIT
    Destructive

Matching MCP Servers

  • A
    license
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    quality
    A
    maintenance
    Enables AI agents to persist memories across sessions and recall them through graph-traversal spreading activation over interconnected neurons with explicit relationship types, supporting multi-hop reasoning fully offline without embedding API costs.
    240
    MIT

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

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  • Convert text messages into audible speech using neural voices or macOS say, waiting until playback completes.
    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
  • 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 the list of networks supporting USDD protocol operations, enabling selection of compatible blockchains for vaults, swaps, and transfers.
    MIT
  • 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