| 1 | { |
| 2 | "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json", |
| 3 | "name": "io.github.ondeinference/onde-cli", |
| 4 | "title": "Onde Inference CLI: Fine-tune & Deploy Local LLMs", |
| 5 | "description": "MCP server to fine-tune LoRA, export GGUF, and deploy local LLMs on Onde Inference.", |
| 6 | "version": "0.4.3", |
| 7 | "websiteUrl": "https://ondeinference.com/cli", |
| 8 | "repository": { |
| 9 | "url": "https://github.com/ondeinference/onde-cli", |
| 10 | "source": "github", |
| 11 | "id": "1207617309" |
| 12 | }, |
| 13 | "packages": [ |
| 14 | { |
| 15 | "registryType": "npm", |
| 16 | "registryBaseUrl": "https://registry.npmjs.org", |
| 17 | "identifier": "@ondeinference/cli", |
| 18 | "version": "0.4.3", |
| 19 | "runtimeHint": "npx", |
| 20 | "transport": { |
| 21 | "type": "stdio" |
| 22 | }, |
| 23 | "packageArguments": [ |
| 24 | { |
| 25 | "type": "named", |
| 26 | "name": "--mcp", |
| 27 | "description": "Run the CLI as an MCP server over stdio instead of launching the TUI.", |
| 28 | "isRequired": true |
| 29 | } |
| 30 | ] |
| 31 | }, |
| 32 | { |
| 33 | "registryType": "nuget", |
| 34 | "registryBaseUrl": "https://api.nuget.org/v3/index.json", |
| 35 | "identifier": "Onde.Cli", |
| 36 | "version": "0.4.3", |
| 37 | "runtimeHint": "dnx", |
| 38 | "transport": { |
| 39 | "type": "stdio" |
| 40 | }, |
| 41 | "packageArguments": [ |
| 42 | { |
| 43 | "type": "named", |
| 44 | "name": "--mcp", |
| 45 | "description": "Run the CLI as an MCP server over stdio instead of launching the TUI.", |
| 46 | "isRequired": true |
| 47 | } |
| 48 | ] |
| 49 | } |
| 50 | ], |
| 51 | "_meta": { |
| 52 | "io.modelcontextprotocol.registry/publisher-provided": { |
| 53 | "categories": ["developer-tools", "ai", "machine-learning"], |
| 54 | "keywords": [ |
| 55 | "onde", |
| 56 | "onde inference", |
| 57 | "mcp", |
| 58 | "mcp server", |
| 59 | "llm", |
| 60 | "local llm", |
| 61 | "fine-tuning", |
| 62 | "lora", |
| 63 | "lora adapter", |
| 64 | "gguf", |
| 65 | "quantization", |
| 66 | "qwen", |
| 67 | "safetensors", |
| 68 | "hugging face", |
| 69 | "model deployment", |
| 70 | "model catalog", |
| 71 | "on-device", |
| 72 | "edge ai", |
| 73 | "ai agents", |
| 74 | "rust cli" |
| 75 | ], |
| 76 | "products": { |
| 77 | "Onde Inference": "https://ondeinference.com" |
| 78 | } |
| 79 | } |
| 80 | } |
| 81 | } |