Skip to main content
Glama
fernando-freitas-alves

multi-model-mcp

by fernando-freitas-alves
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to multi-model-mcp

No user-submitted related servers found.

    Related Servers

    • agentloop

      luckeyfaraday
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
      60
      MIT

    • llm-gateway-mcp

      felmarv
      A
      license
      Not graded
      quality
      C
      maintenance
      A self-hostable MCP server that routes prompts to multiple LLM providers using declarative policies, with multi-role orchestration for independence and verification.
      MIT

    • delegations-mcp

      kaijfox
      F
      license
      B
      quality
      D
      maintenance
      An MCP server that exposes a library of delegation prompts to orchestrate tasks between a primary LLM and specialized sub-agents. It enables the execution of self-contained, bounded tasks with built-in support for configuration discovery and project-specific delegation libraries.
      3
      -

    • deep-think-mcp

      ClintMoody
      A
      license
      B
      quality
      B
      maintenance
      An MCP server that provides a structured, persistent scratchpad for hard reasoning, with staged reasoning and self-critique, built for local models.
      25
      1
      MIT

    • HydraMCP

      Pickle-Pixel
      A
      license
      A
      quality
      C
      maintenance
      An MCP server that enables users to query, compare, and synthesize responses from multiple local and cloud LLMs simultaneously using existing subscriptions. It provides tools for parallel model evaluation, consensus polling with an LLM-as-judge, and response synthesis across different model providers.
      8
      9 npm
      16
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a distinct purpose: ask_many for parallel queries, ask_model for single query, list_models for enumeration, critique_answer for critiquing drafts, pick_best_answer for ranking candidates, and reason_together for multi-step reasoning. No two tools overlap in function.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: ask_many, ask_model, critique_answer, list_models, pick_best_answer, reason_together. The verbs are descriptive and the naming style is uniform.

    Tool Count5/5

    With 6 tools, the surface is well-scoped for a multi-model interaction server. Each tool adds clear value without redundancy or bloat, covering essential operations for querying, critiquing, ranking, and reasoning.

    Completeness4/5

    The tool set covers all core workflows: single/parallel queries, critique, ranking, and multi-step reasoning. A minor gap might be a tool for managing model configurations or conversation history, but the set is largely complete for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources