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Related Servers

Alternatives to MCP AI Gateway

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Lets MCP clients route prompts and tasks to user-selected AI providers and models for coding, reasoning, planning, agentic analysis, image generation, and deep research, with configurable fallback order.
      2 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables MCP clients like Claude Code and Cursor to use multiple AI models (Gemini, GPT, Grok, DeepSeek, Kimi, Ollama) via a unified chat tool with conversation memory.
      3
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables selecting the best AI model and reasoning effort for any task by analyzing task requirements and live pricing, balancing intelligence, speed, and cost. Provides model recommendations, comparisons, and routing status through MCP tools.
      MIT
    • A
      license
      B
      quality
      F
      maintenance
      Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.
      14
      3 npm
      14
      MIT

    TDQS

    B3.2/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'chat_completion' has a clear, distinct purpose of sending chat completion requests to an AI API provider.

    Naming Consistency5/5

    The single tool name 'chat_completion' follows a clear and consistent verb_noun pattern. Since there is only one tool, there is no inconsistency to evaluate, and the naming convention is appropriate for its function.

    Tool Count2/5

    A single tool is generally too few for a server's purpose, as it limits functionality and may indicate an incomplete or overly narrow scope. For an 'MCP AI Gateway' that presumably handles AI interactions, one tool feels insufficient for typical enterprise use cases.

    Completeness2/5

    The tool surface is severely incomplete for an AI gateway domain. While 'chat_completion' covers basic chat requests, there are obvious gaps such as tools for managing models, handling different API providers, processing responses, or supporting other AI tasks beyond chat completions.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues