Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly teams that run software on their own infrastructure and AI agents that connect over MCP — free to start, source available on GitHub.
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AI / Catalogue record

Catalogue record
github.com
🐍 ☁️ 🍎 🪟 🐧 - MCP server for quelllm.fr — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, license). Tool...
Field notes
🐍 ☁️ 🍎 🪟 🐧 - MCP server for quelllm.fr — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, license). Tools: listmodels, getmodel, compare, estimatevram, estimatecost (API providers vs self-hosted hardware in EUR), searchmodels. Useful when picking a local model that fits your GPU/Mac.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly teams that run software on their own infrastructure and AI agents that connect over MCP — free to start, source available on GitHub.
Known limitations
Teams that need a vendor SLA before adopting a free tool — check the project's support terms first.
Verify current plan terms with the provider.
Evidence summary
Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly teams that run software on their own infrastructure and AI agents that connect over MCP — free to start, source available on GitHub.
Known limitations
Teams that need a vendor SLA before adopting a free tool — check the project's support terms first.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / MGM-FALCON/quelllm-mcp
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