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Mistral AI

1.0.0

Swih

MCP

Full Mistral AI surface — chat, embeddings, vision, OCR, Voxtral audio (transcribe/speak), Codestral FIM, agents, moderation, files, and batch. 22 tools. Listed on the Official MCP Registry. Free Experiment tier: 1B tokens/month.

Designs, tests, and refines prompts for LLM features.

Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings. Use when you need reproducible quality scoring for `skills/*/SKILL.md`, want to gate merges with a score threshold (for example 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.

Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

OBLITERATUS: abliterate LLM refusals (diff-in-means).

vLLM: high-throughput LLM serving, OpenAI API, quantization.