Skip to main content
Glama
koleharv

gguf-mcp

by koleharv
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to gguf-mcp

No user-submitted related servers found.

    Related Servers

    • cancerbero

      noguerol
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to inspect local GGUF model files for structural, template-security, companion-file, and runtime-advisory risks before deployment, returning machine-readable verdicts via seven MCP tools.
      Apache 2.0
    • nodegrove VRAM: can I run it? by nodegrove

      nodegrove VRAM: can I run it?official

      nodegrove
      A
      license
      A
      quality
      A
      maintenance
      Checks whether an open-weight LLM fits your GPU: VRAM for weights, KV cache and overhead at each quantisation, a tokens-per-second ceiling, the longest context that fits, and what would work instead when it doesn't. Reads any Hugging Face repo's config.json. Free, read-only, no API key.
      4
      6
      MIT

    • ai-model-selector-mcp

      barrymister
      A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI assistants with structured access to metadata for 76+ AI models across Ollama, Claude, and OpenRouter, enabling capability queries, compatibility checks, model comparisons, and task-based recommendations.
      9 npm
      MIT

    • deepbom

      JunHwan-Kwon
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables local inspection of AI model deployment artifacts without executing model code, returning SHA-256, structure, defect analysis, and evidence-gap findings in Gemini CLI conversations.
      Apache 2.0
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of model file inspection: summarize, list tensors, estimate VRAM, and get metadata. No overlap in purpose.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (inspect, list, estimate, get), making the set predictable and easy to navigate.

    Tool Count5/5

    Four tools is well-scoped for a specialized inspection server, covering core operations without bloat or gaps.

    Completeness5/5

    The tool set fully covers the domain of local model file inspection: overview, detailed tensors, VRAM fitting, and metadata. No obvious missing operations.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources