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"Using a second LLM to collaborate with a primary LLM for problem-solving and quality improvement" matching MCP servers:

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    MCP server that provides a live coordination layer for AI agents, including attributable handoffs, a shared event ledger, atomic work-claiming, and advisory file leases to prevent collisions.
    27
    7
    AGPL 3.0
  • A
    license
    A
    quality
    F
    maintenance
    MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Centralized encrypted gateway that routes requests to 11+ LLM providers (API keys and CLI subscriptions) through a single OpenAI-compatible endpoint, with MCP tools for vault operations, code search, and shared state.
    30
    27
    1
    MIT
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    quality
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    maintenance
    Enables AI agents to interact with multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek) through a standardized interface, making it easy to switch between models or use multiple models in the same application.
    1
    6
    MIT
  • F
    license
    B
    quality
    A
    maintenance
    MCP server toolkit with payload library, WAF bypass generator, rate limiter, plugin system, and inter-MCP bridge for security testing.
    16
  • A
    license
    D
    quality
    B
    maintenance
    Enables Claude Code as a team leader to delegate tasks to GPT and Gemini experts, supporting multi-LLM collaboration with tools for consultation, code review, design, and background execution.
    76
    7
    MIT
  • A
    license
    A
    quality
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    maintenance
    MCP server that completes prompts with automatic provider fallback across OpenAI, Anthropic Claude, and Google Gemini. It is rate-limit aware, retries on transient failures, and provides a transparent attempt log.
    2
    10
    MIT
  • A
    license
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    quality
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    maintenance
    An MCP server that provides local, private, synchronous access to Ollama models for prompt answering, text classification, and model listing, without any file access or command execution.
    3
    MIT
  • A
    license
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    quality
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    maintenance
    A thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.
    1
    MIT