Mistral.rs provides fast LLM inference via Rust bindings to Mistral models. It exposes inference capabilities for text generation, completion, and embedding. The server connects to Hugging Face model hub for model loading. Developers use it for integrating Mistral models into Rust applications, requiring low-latency LLM inference.
Mistral.rs provides fast LLM inference via Rust bindings to Mistral models. It exposes inference capabilities for text generation, completion, and embedding. The server connects to Hugging Face model hub for model loading. Developers use it for integrating Mistral models into Rust applications, requiring low-latency LLM inference.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"ericlbuehler-mistralrs-github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-ericlbuehler-mistralrs-github"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mistral.rs?"
No configuration required. This server works out of the box.
"What resources are available in mistral.rs?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mistral.rs"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mistral.rs with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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