quelllm-mcp
About
Query a catalog of 250+ open-weights LLMs — list, compare, estimate VRAM and API-vs-self-hosted cost — directly from Claude Code, Cursor or any MCP client.
Details
- Author
- mgm-falcon
- Categories
- Developer Tools, AI
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Setup
Install quelllm-mcp in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/mgm-falcon/quelllm-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
MCP server exposing thequelllm.frcatalog of 190+ open-weights LLMs via Model Context Protocol tools. Use it from Claude Code, Cursor, Continue, or any MCP-compatible client to query models, compare them, estimate VRAM, and compute API vs self-hosted cost.
pip install git+https://github.com/MGM-FALCON/quelllm-mcp.git
uvx --from git+https://github.com/MGM-FALCON/quelllm-mcp.git quelllm-mcp
git clone https://github.com/MGM-FALCON/quelllm-mcp.git cd quelllm-mcp pip install -e .
Add to~/.claude.jsonor a project's.mcp.json. If you installed withpip:
{ "mcpServers": { "quelllm": { "command": "quelllm-mcp" } } }
{ "mcpServers": { "quelllm": { "command": "uvx", "args": ["--from", "git+https://github.com/MGM-FALCON/quelllm-mcp.git", "quelllm-mcp"] } } }
Edit~/Library/Application Support/Claude/claude_desktop_config.json(macOS) :
{ "mcpServers": { "quelllm": { "command": "quelllm-mcp" } } }
Most MCP clients accept the same JSON config :
{ "command": "quelllm-mcp" }
> Quels LLM Mistral peuvent tourner sur RTX 5070 Ti 16GB ? → list_models(filter_family='Mistral', max_params_b=24) → estimate_vram('mistral-small-24b', 'q4') > Compare Llama 3.3 70B vs Qwen 2.5 32B → compare('llama33-70b', 'qwen25-32b') > J'utilise 10M tokens input + 2.5M output / mois. Combien je paye chez OpenAI vs DeepSeek ? → estimate_cost(10_000_000, 2_500_000)
All data pulled fromquelllm.fr/api/(CC BY 4.0, no key, CORS-enabled). Cached locally for 1h to avoid rate-limiting.
API pricing data (GPT-5, Claude Opus 4.7, Gemini 2.5, DeepSeek, Mistral) and hardware pricing (RTX 50-series, Mac M4) are hardcoded as of2026-05— verify semestrially.
Source :https://github.com/MGM-FALCON/quelllm-mcpIssues + PRs welcome. Particularly :
- API pricing updates (semestrial)
- Hardware additions (new GPUs, Mac Mx series)
- New tools (e.g.find_alternatives_to(model_id),recommend_gpu(budget_eur))
A pytest smoke suite lives undertests/. It covers all 6 tools and the v1.1.0 output invariants, never touches the network (local fixture + mockedhttpx), and stubs themcpSDK when it isn't importable — so it also runs on Python 3.9.
pip install -e ".[test]" pytest
Mohamed Meguedmi —LinkedIn·Hugging FaceFounder ofLa Gazette IAandQuelLLM.fr.
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