MCP server providing access to a catalog of 190+ open-weight LLMs with tools for model info, comparison, VRAM and cost estimation.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Not yet automatically verified
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
List and filter open-weight LLMs by origin, family, or parameter count
Retrieve detailed metadata for a specific model including VRAM and license
Compare two models side-by-side with a verdict
Estimate VRAM needs for a model at various quantization levels
Calculate monthly cost estimates for API usage versus self-hosted hardware
Key features
Model catalog access with 190+ open-weight LLMs
Filtering by model origin, family, and size
Side-by-side model comparison tool
VRAM estimation per quantization and recommended hardware tiers
Cost estimation in EUR for API providers and self-hosted setups
Fuzzy search by model name, family, tag, or author
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Quelllm MCP.
Extracted Tool Capabilities
Model catalog access with 190+ open-weight LLMs
Filtering by model origin, family, and size
Side-by-side model comparison tool
VRAM estimation per quantization and recommended hardware tiers
Cost estimation in EUR for API providers and self-hosted setups
Fuzzy search by model name, family, tag, or author
Documentation Overview
quelllm-mcp
MCP server exposing the quelllm.fr catalog 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.
Tools exposed
| Tool | Description |
|---|---|
list_models(filter_origin?, filter_family?, max_params_b?) | List models with filters (origin code, family, max params in B) |
get_model(model_id) | Full record for one model (params, vram per quant, context window, family, tags, license, URLs) |
compare(model_a_id, model_b_id) | Side-by-side comparison with verdict |
estimate_vram(model_id, quant) | VRAM in GB at chosen quant + recommended GPU/Mac tiers |
estimate_cost(input_tokens_per_month, output_tokens_per_month, ...) | Cost in EUR — full table API providers vs self-hosted hardware OR a specific id |
search_models(query, limit?) | Fuzzy search by name, family, tag, author |
Install
Install from source (not yet on PyPI) :
Or run without installing, using uv :
For local development :
Use with Claude Code
Add to ~/.claude.json or a project's .mcp.json. If you installed with pip :
Or zero-install with uvx :
Use with Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) :
Use with Cursor / Continue / Cline
Most MCP clients accept the same JSON config :
Example queries (from your client)
Data source
All data pulled from quelllm.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 of 2026-05 — verify semestrially.
License
MIT — see LICENSE.
Contributing
Source : https://github.com/MGM-FALCON/quelllm-mcp Issues + 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))
Tests
A pytest smoke suite lives under tests/. It covers all 6 tools and the v1.1.0
output invariants, never touches the network (local fixture + mocked httpx),
and stubs the mcp SDK when it isn't importable — so it also runs on Python 3.9.
Author
Mohamed Meguedmi — LinkedIn · Hugging Face Founder of La Gazette IA and QuelLLM.fr.
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CategoryDeveloper Tools
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Scanned 15d ago via OSV.dev · --from (PyPI)
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