Skip to main content
Glama
akashpersetti

mcp-second-opinion

by akashpersetti
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to mcp-second-opinion

No user-submitted related servers found.

    Related Servers

    • Ask-a-Friend

      samychalah
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.
      Apache 2.0

    • AI Consultant MCP Server

      GoldenPathAI
      A
      license
      B
      quality
      D
      maintenance
      Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.
      2
      8 npm
      1
      MIT

    • Model Council

      Totti0135
      A
      license
      A
      quality
      A
      maintenance
      An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.
      6
      2
      MIT

    • council

      komsamoilenko
      A
      license
      Not graded
      quality
      A
      maintenance
      Lets your AI assistant consult assistants from other vendors under your own subscriptions, track costs, and cross-examine answers across models to surface disagreements and open points.
      3 npm
      MIT
    Deploy Server
    Context Every Agent Can ShareAgents share what they learn, hand off work, and keep it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A3.8/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clear boundaries: ask_other_model queries a single rival LLM, while ask_the_panel convenes all enabled LLMs in parallel. There is no meaningful overlap between the two modes.

    Naming Consistency5/5

    Both tool names follow a consistent 'ask_<target>' pattern with distinct nouns. This makes the tool set predictable and easy to understand.

    Tool Count4/5

    Two tools is on the thin side, but it exactly matches the server's stated purpose: get a single second opinion or a panel opinion. Each tool earns its place with no redundancy.

    Completeness4/5

    The core use cases of requesting a single rival model or all enabled models are fully covered. A minor gap is the absence of a way to select a specific subset of models, but that may be configuration-level rather than tool-level.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources