Model serving & inference — Aguasto Research MCP Resource
Model serving & inference
is one of 90 resources on the
Aguasto Research
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Model serving & inference from your client
- Claude Code Aguasto Research Resource/Model serving & inference run in your project directory
- Claude Desktop Aguasto Research Resource/Model serving & inference ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Aguasto Research Resource/Model serving & inference ~/.cursor/mcp.json
- VS Code Aguasto Research Resource/Model serving & inference .vscode/mcp.json
- Zed Aguasto Research Resource/Model serving & inference ~/.config/zed/settings.json
- Windsurf Aguasto Research Resource/Model serving & inference ~/.codeium/windsurf/mcp_config.json
- Cline Aguasto Research Resource/Model serving & inference ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Aguasto Research Resource/Model serving & inference ~/.gemini/settings.json
- Grok Aguasto Research Resource/Model serving & inference .mcp.json (in your project root)
- ChatGPT Aguasto Research Resource/Model serving & inference Settings → Connectors → Advanced → Developer mode
- Claude.ai Aguasto Research Resource/Model serving & inference Settings → Connectors → Add custom connector
- LangChain Aguasto Research Resource/Model serving & inference pip install langchain-mcp-adapters
Other resources on this server
- API Versioning & Deprecation Policy
- Developer Sandbox & Synthetic API Tests
- Aguasto | Modular AI Infrastructure, GPU Compute & Inference
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- Aguasto Research & Resources
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- Compare GPU & Rack References
- Compare Open-Weight Model References
- AI Infrastructure Engineering Calculators
- The Growing Friction in Hyperscale Data Center Development
- NVIDIA H100 SXM
- NVIDIA H200 SXM
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- NVIDIA B300
- NVIDIA GB200 NVL72
- NVIDIA GB300 NVL72
- NVIDIA Vera Rubin NVL72
Read from the server itself, by connecting to it and calling resources/list on 14 November 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.