A
licenseA
qualityF
maintenanceEnables AI assistants to access Venice AI's capabilities including chat with open-source models, image generation, text-to-speech, embeddings, and API key management.
13
18 npm
5
MIT
Mistral MCP Server
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TDQS
C2.9/5.0
Scored across 43 tools
Disambiguation4/5
Tools are mostly distinct, covering different resources (agents, conversations, libraries, files, jobs, models) and operations. Minor potential confusion exists between mistral_get_conversation and mistral_get_conversation_history, and between mistral_download_file and mistral_get_signed_url, but descriptions clarify the differences.
Naming Consistency4/5
Consistent mistral_ prefix and snake_case throughout, with a predictable verb_noun structure for most tools. A few tools (e.g., mistral_embeddings, mistral_ocr, mistral_chat_completion) use noun-based names, slightly breaking the pattern but remaining readable.
Tool Count3/5
With 43 tools, the set is heavy; while the breadth of the Mistral platform justifies many tools, it exceeds typical MCP server scope. Some consolidation might be possible (e.g., file download and signed URL), but each tool maps to a distinct API endpoint.
Completeness4/5
Covers CRUD for agents, conversations, libraries, files, and job management, plus core AI operations like completions, embeddings, OCR, moderation, and transcription. Notable gap: no tools to manage documents within libraries (add/remove/list documents), and some lifecycle operations (e.g., batch job deletion) are missing.
Maintenance
ActivityInactive
ResponsivenessNo issues