hf-model-explorer-mcp
Related Servers
Alternatives to hf-model-explorer-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceEnables users to download HuggingFace models through natural language requests with support for file filtering, size limits, and custom download directories. Supports various AI development environments including Claude Desktop, VS Code, and Cursor.413 npm3MIT
- AlicenseBqualityCmaintenanceEnables LLMs to search and retrieve read-only information from the Hugging Face Hub about models, datasets, Spaces, papers, and collections. It also supports model comparison and paper summarization prompts.10MIT
- AlicenseAqualityAmaintenanceChecks 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.46MIT
- AlicenseNot gradedqualityBmaintenanceSearch, rank, and compare 500K+ AI models from 13+ platforms with VRAM and license constraints4 npm1MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to discover and query live model information from OpenRouter, HuggingFace, and Ollama Cloud, ensuring recommendations are based on current data.-
- AlicenseAqualityCmaintenanceProvides tools to inspect local GGUF and safetensors model files, returning metadata, tensor info, and VRAM estimates without reading tensor data. Enables asking natural-language questions about model architecture, quantization, size, and compatibility.426 npmMIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: search, get details, compare, hardware fit, and find similar models. There is no meaningful overlap between them, even though several take model_id as input.
All tool names follow the same verb_noun snake_case pattern: get_model_details, search_models, compare_models, check_hardware_fit, find_similar_models. The naming is predictable and readable.
Five tools is a well-scoped set for a model exploration server. Each tool adds a distinct capability without redundancy or bloat.
The server covers the full exploration workflow: discovering models via search, inspecting individual models, comparing models, checking hardware compatibility, and finding alternatives. No obvious gaps exist for its stated purpose.