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199,084 tools. Last updated 2026-06-13 12:10

"A resource for understanding Claude's context window and capabilities" matching MCP tools:

  • Retrieve detailed specifications for any AI model by its ID, including pricing, context window, capabilities, and request limits to inform model selection decisions.
    MIT
  • Compare LLM model pricing and capabilities across providers. Discover cost savings, context window sizes, and batch/cache support when switching models.
    MIT
  • List all available Producer API actions and their corresponding tools for reference and understanding of the MCP server capabilities.
    MIT
  • Retrieve SearXNG instance configuration to discover available search engines, enabled categories, supported languages, and instance settings for understanding search capabilities.
    MIT
  • Lists all available Suno API actions and their corresponding tools, providing a categorized reference for understanding the full capabilities of the Suno MCP.
    MIT
  • List all available Veo API actions and their corresponding tools. Reference guide for understanding the Veo MCP server's capabilities.
    MIT

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  • MCP server for accessing curated awesome list documentation

  • Stop re-explaining yourself to Agents. Give it the right context, right when needed.

  • Explain code snippets by answering specific questions about them, using a local model to avoid token consumption and preserve Claude's context for complex reasoning.
    MIT
  • Look up pricing, context window, and capabilities for any LLM model. Fuzzy matching identifies models even without exact names.
    MIT
  • Determine the language context—GDScript, C#, or Godot resource—for a given file path.
    MIT
  • Generate AI responses by combining DeepSeek's reasoning with Claude's generation through OpenRouter, maintaining conversation context for enhanced interactions.
    MIT
  • Retrieve VRAM requirements, context window size, and tier classification for AI models to optimize resource allocation and model selection decisions.
  • Fetch the rendered body of a single resource URI—rule, guideline, or context document—in one call, bypassing the two-step handshake. Returns URI, name, description, and full text body.
    MIT
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Retrieve detailed documentation for any OpenTofu resource by specifying provider namespace, provider name, and resource name.
    Mozilla Public 2.0
  • Return a compact JSON index of tool names, descriptions, and parameter schemas, optimized for LLM function-calling context windows. Use before agent planning to discover available capabilities.
    MIT