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AI Platform MCP Server — Model Context Protocol server for the AIOZ AI Platform","maintainers":[{"name":"aiozai","email":"huong.thanh.nguyen@aioz.io"}],"readme":"# AIOZ AI Platform MCP Server\n\nThe AIOZ AI Platform MCP server gives your coding agent direct access to the AIOZ AI Platform:\nrun inference on models, manage models and datasets, upload files, check balances and task\nhistory, and work with organizations and repositories.\n\nFor the full tool list, see the [MCP Catalog](https://github.com/AIOZNetwork/aioz-ai-developer/blob/main/mcp/CATALOG.md).\n\n> [!NOTE]\n> You need an editor or app that supports MCP servers. Verified with **VS Code, Cursor, Trae,\n> Antigravity, and Claude Desktop**.\n\n## Prerequisites\n\n- An **AIOZ AI Platform account**.\n- An **API key**. Log in to [AIOZ AI Platform](https://aiozai.network), go to\n  **Settings → API Keys**, and create one. Public tools (browsing public models and datasets)\n  work without a key.\n\n## Install\n\nThe server runs locally over `stdio`. Add it to your client's MCP config with your API key in\nthe `env` block, and every tool call is authenticated automatically.\n\nThe `npx` command below downloads the right binary for your platform on first run and caches it.\nIt needs Node.js. If you don't have Node, use a [pre-built binary](#pre-built-binary-no-nodejs)\ninstead.\n\n**VS Code** (`.vscode/mcp.json`, or run **MCP: Open User Configuration** for all workspaces):\n\n```json\n{\n    \"servers\": {\n        \"aioz-ai-platform\": {\n            \"type\": \"stdio\",\n            \"command\": \"npx\",\n            \"args\": [\"-y\", \"@aiozai/mcp-server\"],\n            \"env\": {\n                \"AIOZ_AI_API_KEY\": \"xxxxxxxxxxxxxxxx\"\n            }\n        }\n    }\n}\n```\n\n**Cursor** (`.cursor/mcp.json`), **Claude Desktop** (`claude_desktop_config.json`), **Trae**\n(`mcp.json`), **Antigravity** (`mcp_config.json`) all use the same shape, with `mcpServers`\ninstead of `servers`:\n\n```json\n{\n    \"mcpServers\": {\n        \"aioz-ai-platform\": {\n            \"command\": \"npx\",\n            \"args\": [\"-y\", \"@aiozai/mcp-server\"],\n            \"env\": {\n                \"AIOZ_AI_API_KEY\": \"xxxxxxxxxxxxxxxx\"\n            }\n        }\n    }\n}\n```\n\nWhere to find the config in each app:\n\n| App | How to open it |\n|---|---|\n| VS Code | `⌘/Ctrl + Shift + P` → **MCP: Open User Configuration** (global) or **MCP: Open Workspace Folder MCP Configuration** |\n| Cursor | **Settings → Cursor Settings → Tools & MCP → + Add Custom MCP** |\n| Trae | **Settings → MCP → Add → Add Manually** |\n| Antigravity | Side panel → **Agent session → \"...\" → MCP Servers → Manage MCP Servers → View raw config**, then **Refresh** |\n| Claude Desktop | **Settings → Developer → Edit Config** |\n\n### Pre-built binary (no Node.js)\n\nDownload your platform's binary from the [Releases](https://github.com/AIOZNetwork/aioz-ai-developer/releases)\npage:\n\n| Platform | Binary |\n|---|---|\n| Linux x86-64 | `aioz-ai-mcp-linux-amd64` |\n| Linux ARM64 | `aioz-ai-mcp-linux-arm64` |\n| macOS Intel | `aioz-ai-mcp-darwin-amd64` |\n| macOS Apple Silicon | `aioz-ai-mcp-darwin-arm64` |\n| Windows x86-64 | `aioz-ai-mcp-windows-amd64.exe` |\n\nMake it executable (`chmod +x`, macOS and Linux), then use the same config as above with the\n`npx` command swapped for the binary's path:\n\n```json\n\"command\": \"/path/to/aioz-ai-mcp\",\n\"args\": [],\n```\n\n## Agent skills (recommended)\n\nThe tools alone don't teach an agent the inference lifecycle. Two skills do:\n\n```bash\nnpx skills add AIOZNetwork/aioz-ai-developer/skills/aioz-ai-run-inference\nnpx skills add AIOZNetwork/aioz-ai-developer/skills/aioz-ai-upload-file\n```\n\nSee [skills/](../skills/) for what they cover.\n\n## API key\n\nSet `AIOZ_AI_API_KEY` in the `env` block of your config, as shown above. The server attaches it to\nevery request, so tools work without passing a key per call.\n\nTo use a different key for one specific call, pass `x_api_key` on that call. It overrides the\nconfigured key for that call only.","readmeFilename":"README.md"}