Skip to main content
Glama
offline-mcp

offline-mcp

Related Servers

Alternatives to offline-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables Claude Code to leverage local Ollama models for tasks like summarizing large files, reviewing diffs, semantic code search, and generating boilerplate or tests, while also supporting a fully offline mode.
      6
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables Claude Code to offload mechanical development work—tests, git operations, pull requests, summaries, project search, code review, and browser or screen control—to local Ollama models with optional free cloud fallbacks. It returns concise results to reduce token usage while keeping execution on the user's own machine.
      37
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to locally search, retrieve, and summarize project documentation using Ollama models, without cloud usage, while managing requests through a queue and optional model prewarming.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables interaction with locally running Ollama models through chat, generation, and model management operations. Supports listing, downloading, and deleting models while maintaining conversation history for interactive sessions.
      518 npm
      MIT

    TDQS

    B3.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: status checking, running inference, listing recommended models, providing a directory, and offering guides. No overlap in functionality.

    Naming Consistency4/5

    All names use snake_case and follow a verb_noun or adjective_noun pattern, with minor variation between imperative verbs and descriptive nouns. Consistent enough for clear identification.

    Tool Count5/5

    Six tools is well-scoped for an offline AI inference and guidance server, covering core operations and supplementary resources without bloat.

    Completeness5/5

    The tool set covers the full expected workflow: status check, inference, model recommendations, directory, and guides for deployment and degraded mode. No obvious gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues