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460,228 tools. Updated 2026-08-18 00:53

"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP tools:

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

  • 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).

  • List all available chat completion models including GPT-4, GPT-4o, GPT-5, and o-series models. View model names and descriptions in a table.
    MIT
  • Send a prompt to any AI chat model on avots.ai and receive a response. Delegate sub-tasks or get alternative perspectives from models like GPT, DeepSeek, and more.
    MIT
  • Diagnoses the local MCP bridge state and EasyEDA Pro extension connection, providing protocol compatibility check, active document context, and suggested next steps to resolve issues.
    MIT
  • Query GPT models by specifying the model ID and custom system instructions using your ChatGPT subscription. Provide the task or question along with optional context and reasoning effort.
    MIT
  • 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
  • Track and analyze MCP server and tool usage frequency across Cursor and Claude Code sessions to monitor AI coding analytics.
    MIT
  • Retrieve usage statistics for MCP servers and tools, including frequency and user filters, to analyze adoption over a specified date range.
    MIT
  • Check RunAPI pricing for GPT image models, with filters for model and endpoint to determine costs for text-to-image or edit tasks.
    Apache 2.0
  • Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.
    MIT
  • Estimate token count for text using heuristics for GPT and Claude model families. Provide text and optional model hint for accurate counting.
    MIT
  • Access guidance and support for using the After Effects MCP integration, enabling AI assistants and applications to control Adobe After Effects through a standardized protocol.
    MIT