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671,068 tools. Updated 2026-10-17 21:29

"Multi MCP (Model Context Protocol) implementation or management" 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
  • 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
  • Identify code chunks safe to drop from context, providing exact re-fetch keys for one-call restoration. Use when context pressure builds or before implementation.
    MIT
  • Set up a download client in Sonarr by providing its configuration schema, including name, implementation, protocol, priority, and download handling options.
    MIT
  • Convert a specification into implementation code for functions, classes, modules, or API endpoints. Provide context and constraints to align with existing code.
    MIT
  • Delegate a single implementation, investigation, or verification task to a saved Codex worker in an isolated Git worktree; no mailbox or thread management needed.
    MIT

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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).

  • 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
  • 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 Model Context Protocol documentation on topics like overview, resources, tools, and setup to build MCP servers correctly.
    MIT
  • Scaffold a complete Model Context Protocol (MCP) server including tools, resources, prompts, server.py, pyproject, smoke-test client, and README from a plain-English request.
    MIT
  • Retrieve full tag management system details, including platform, container ID, implementation type, server-side endpoint, and configuration notes.
    -
  • Toggle IPv6 management on or off for a chosen protocol—HTTP, HTTPS, Telnet, Ping, or SSH—with confirmation required before changes take effect.
    MIT
  • Enable AI-driven collaboration with automatic model switching and context optimization for advanced, multi-model conversational workflows.
    GPL 3.0
  • Log architectural or implementation decisions with rationale and context to build durable project memory for coordinated multi-agent software delivery.
    -
  • Get cross-model feedback on a code change before merging by running a multi-model review on a diff or file. Returns a PR comment body ready to post.
    MIT