Skip to main content
Glama

Related Servers

Alternatives to omlx-mcp-server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables running MCP tools against local MLX models on your Mac, with hardware-aware configuration, CLI streaming, and a dashboard for routing and monitoring.
      2,158 npm
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      A zero-dependency MCP and agent tool server for small local models that provides a measured, deterministic tool-calling interface with file, web, shell, and calculation tools.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      A Python MCP server that exposes local Ollama models as tools for AI assistants, enabling chat, generation, embeddings, and model management without cloud APIs.
      49 PyPI
      5
      MIT
    • A
      license
      A
      quality
      B
      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
    • F
      license
      A
      quality
      C
      maintenance
      MCP server that connects LLM agents to a local LM Studio instance, enabling model management, OpenAI-compatible chat completions, text completions, and embeddings through a set of tools.
      9
      1
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server that enables local Apple on-device Foundation Model access via any MCP client, supporting text generation, structured output, and multi-turn chat on macOS.
      2
      MIT

    TDQS

    A3.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: one for querying status/model list, the other for running requests. There is no overlap or ambiguity.

    Naming Consistency5/5

    Both tools follow a consistent 'omlx_' prefix plus a verb (status, run). This is a clear and predictable pattern.

    Tool Count3/5

    With only 2 tools, the set feels thin for a model-running server. While each tool is justified, the count is on the borderline of being too minimal.

    Completeness4/5

    The core functionality is covered: status provides information needed before running, and run executes the request. Minor gaps exist (e.g., no explicit model management or request cancellation), but for the stated purpose the surface is largely complete.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues