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
Matching MCP Servers
- Alicense-qualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Last updatedApache 2.0
- Alicense-qualityDmaintenanceA basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.Last updated354MIT
Matching MCP Connectors
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
- Take a screenshot of the current page or screen and return it as a base64-encoded image, resized and compressed for model context limits.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 aggregated protocol metrics from mainnet website data to analyze USDD protocol health and performance.MIT
- Retrieve current governance parameters for the Indigo Protocol on Cardano to monitor protocol settings and configurations.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
- Get complete details for any model using its provider/slug ID — pricing, context window, latency percentiles, and release date.MIT