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81 lines (81 loc) · 2.12 KB
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{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.ondeinference/onde-cli",
"title": "Onde Inference CLI: Fine-tune & Deploy Local LLMs",
"description": "MCP server to fine-tune LoRA, export GGUF, and deploy local LLMs on Onde Inference.",
"version": "0.4.3",
"websiteUrl": "https://ondeinference.com/cli",
"repository": {
"url": "https://github.com/ondeinference/onde-cli",
"source": "github",
"id": "1207617309"
},
"packages": [
{
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"identifier": "@ondeinference/cli",
"version": "0.4.3",
"runtimeHint": "npx",
"transport": {
"type": "stdio"
},
"packageArguments": [
{
"type": "named",
"name": "--mcp",
"description": "Run the CLI as an MCP server over stdio instead of launching the TUI.",
"isRequired": true
}
]
},
{
"registryType": "nuget",
"registryBaseUrl": "https://api.nuget.org/v3/index.json",
"identifier": "Onde.Cli",
"version": "0.4.3",
"runtimeHint": "dnx",
"transport": {
"type": "stdio"
},
"packageArguments": [
{
"type": "named",
"name": "--mcp",
"description": "Run the CLI as an MCP server over stdio instead of launching the TUI.",
"isRequired": true
}
]
}
],
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"categories": ["developer-tools", "ai", "machine-learning"],
"keywords": [
"onde",
"onde inference",
"mcp",
"mcp server",
"llm",
"local llm",
"fine-tuning",
"lora",
"lora adapter",
"gguf",
"quantization",
"qwen",
"safetensors",
"hugging face",
"model deployment",
"model catalog",
"on-device",
"edge ai",
"ai agents",
"rust cli"
],
"products": {
"Onde Inference": "https://ondeinference.com"
}
}
}
}