Skip to main content
Glama

Related Servers

Alternatives to model-radar

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Publishes an MCP server that pools many free LLM providers — including keyless routes — behind one local OpenAI-compatible endpoint, letting coding agents and compatible clients discover, route to, and fail over across available chat models. It also exposes tools for status, model inventory, and capacity/health inspection.
      -
    • A
      license
      A
      quality
      D
      maintenance
      An MCP server that provides AI agents free access to NVIDIA's hosted AI models (100+ models) with automatic model routing for tasks like reasoning, coding, vision, embeddings, and translation.
      2
      10
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that pools free tiers of multiple LLM providers behind an OpenAI-compatible endpoint, enabling model routing, failover, and usage tracking through tools like tokenmax, capacity, and benchmark.
      965 PyPI
      141
      MIT

    TDQS

    A4.2/5.0

    Scored across 21 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: ask runs prompts on multiple models, run executes a single prompt, judge evaluates, compare does A/B comparison, etc. Even similar tools like scan and get_fastest are differentiated by description (scan pings and sorts all, get_fastest returns top N). No ambiguity.

    Naming Consistency5/5

    All tool names use lowercase with underscores for compound names (e.g., batch_judge, list_models, configure_key). Single-word names are verbs (ask, run, scan). No mixing of camelCase or other conventions, making the pattern predictable.

    Tool Count4/5

    21 tools is slightly high but justified by the server's broad scope: querying, evaluation, benchmarking, management, configuration, and maintenance. Each tool earns its place, and the count does not feel excessive for the functionality offered.

    Completeness4/5

    The tool surface covers model querying, evaluation (multiple methods), discovery, configuration, and server management. It supports translation evaluation via backtranslate_eval and benchmarking. Minor gaps like a model deletion tool are not critical for the domain.

    Maintenance

    ActivityStale
    ResponsivenessSyncing