Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, AI agents that connect over MCP — source available on GitHub.
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Catalogue record
github.com
mistral-mcp
📇 ☁️ 🍎 🪟 🐧 - MCP server exposing 22 Mistral AI capabilities (chat, OCR, audio, vision, agents, embeddings, moderation, classification, files...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 ☁️ 🍎 🪟 🐧 - MCP server exposing 22 Mistral AI capabilities (chat, OCR, audio, vision, agents, embeddings, moderation, classification, files, batch) with dual transport (stdio + Streamable HTTP), structured outputs on every tool, and 6 curated French/English prompts with argument completion. Vendor API key required.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, AI agents that connect over MCP — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Verify current plan terms with the provider.
Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
Mistral MCP server for document extraction
GitHub / Swih/mistral-mcp
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- Catalogue updated Oct 27, 2026
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