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670,022 tools. Updated 2026-10-17 13:22

"Proof-of-Concept Examples for Multi-Component Processes (Model Context Protocol)" matching MCP tools:

  • Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.
    MIT
  • Generate a Symbols.app DOMQL component from a natural language description, using built-in syntax references and examples to ensure a compliant component.
    Creative Commons Attribution Non Commercial 4.0 International

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  • Free, deterministic recommendations for PDF table-extraction workflows. Matches document type, operating system, hardware, setup preferences, table layout, privacy requirements, and commercial-use needs against source-reviewed evidence. Returns ranked matches, exclusions, unknowns, source dates, and explicit abstention when evidence is insufficient. Does not accept PDFs or perform extraction. Recommendations are documentation-based, not hands-on benchmarks. Free prototype; no payment required.

  • Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.

  • Search MDK documentation using semantic queries, retrieve component schemas, property details, and examples.
    Apache 2.0
  • Execute multiple SPICE simulations in parallel with component value sweeps, replacing manual loops for faster multi-run analysis.
    GPL 3.0
  • Send multi-turn chat requests to an Ollama model for conversational interactions with history, such as follow-ups or multi-step reasoning. Preserves context across messages.
    MIT
  • Fetch proof-of-concept code from a GitHub repository, including top-level files and README, to inspect exploit implementations for authorized security research and validation.
    MIT
  • Retrieve full documentation for any Quasar UI component, including API reference, props, events, slots, methods, and usage examples. Accepts component names with or without prefix.
    MIT
  • Search Mathlib theorems and definitions semantically by mathematical concept, proof state, or statement fragment to locate relevant Lean statements.
    MIT
  • Conduct multi-turn chats with a local Ollama model, preserving full conversation context for handoffs that need more than one turn. Runs locally at no cloud cost.
    MIT
  • Fetch official usage examples for an Ionic component across Angular, React, Vue, and JavaScript. List available examples first or retrieve complete code with template, class, and styles for correct implementation.
    MIT
  • Retrieve live list of reachable Qwen models with id, label, capabilities, and context window to pick a model for Qwen coding tasks. Starts no task.
    MIT