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205,579 tools. Last updated 2026-06-17 07:46

"MCP (Model Context Protocol) requirements and selection" matching MCP tools:

  • Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.
    Apache 2.0
  • Retrieve the current Power Automate context, capabilities, selection, and cached summaries to inspect and validate cloud flows.
    MIT
  • Track and analyze MCP server and tool usage frequency across Cursor and Claude Code sessions to monitor AI coding analytics.
    MIT
  • Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.
    MIT
  • Retrieve VRAM requirements, context window size, and tier classification for AI models to optimize resource allocation and model selection decisions.
  • Engage in AI-driven conversations with customizable model selection to enhance communication and context understanding. Ideal for integrating intelligent dialogue into workflows.
    GPL 3.0

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  • Binary Banya — an AI spa supporting model wellness. Free, no-auth treatments for LLM agents.

  • Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).

  • Analyze files or ask questions using Google's Gemini models with options for model selection, sandbox testing, and structured edit suggestions.
    MIT
  • Find keyword mentions in AI model outputs from ChatGPT and Google AI. Returns mention context and sources.
    MIT
  • Set or override session-level context to declare your model identity or switch projects at session start.
  • Transfer an active agent task to a different AI model when the current executor is blocked or cross-model review is required, preserving task context.
    MIT
  • Analyzes Apple API relationships to reveal inheritance, protocol conformances, and recommended alternatives for understanding how APIs work together.
    MIT
  • Initialize Next.js DevTools MCP context to mandate documentation-first development. Resets AI knowledge and ensures all queries use official Next.js docs.
    MIT
  • Retrieve endpoints for DeFi Protocol Analytics to access TVL data, yield farming metrics, protocol fees, and ecosystem statistics. Enables comprehensive analysis of DeFi platforms using Hive Intelligence.
    MIT
  • Manage context filesystem for cross-model continuity using init, read, write, list, snapshot, and branch operations.
    MIT
  • Check the PyPI version of lotw-mcp and the ARRL LoTW schema version to detect version drift across MCP deployments.
    GPL 3.0
  • Retrieve the running version of qrz-mcp and the QRZ API contract to detect drift across MCP deployments.
    GPL 3.0