TechEnthus Hardware Data API
Let your coding agent look up verified GPU, CPU, and PSU specs with fuzzy matching while you size local inference or a new dev machine.
Overview
TechEnthus Data is a MCP server for the Build phase that serves verified GPU, CPU, and PSU specifications to AI agents with fuzzy matching over streamable HTTP.
What is this MCP server?
- Streamable HTTP remote MCP at data.techenthus.dev/mcp (no local package required for remote use)
- Verified specs for GPUs, CPUs, and PSUs with fuzzy name matching
- TechEnthus Hardware Data API v1.0.3
- Purpose-built for AI agents that need authoritative hardware facts instead of hallucinated TDP or VRAM
- Remote MCP version 1.0.3
- Covers GPUs, CPUs, and PSUs
- Hosted endpoint https://data.techenthus.dev/mcp
What problem does it solve?
Agents guess VRAM, socket types, and wattage from training data and you waste money on incompatible or underpowered hardware.
Who is it for?
Solo builders choosing GPUs for Ollama or vLLM, documenting a homelab rig, or validating upgrade lists in chat before checkout.
Skip if: Teams that only deploy on managed cloud GPUs and never reason about physical hardware or power budgets.
What do I get? / Deliverables
Your agent can cite verified hardware specs during planning so local LLM and workstation decisions stay grounded in real product data.
- Agent-resolved GPU, CPU, and PSU records
- Fuzzy-matched spec answers in chat or plans
- Grounded hardware notes for build docs
Recommended MCP Servers
Journey fit
Hardware sizing usually happens while you are assembling the agent stack and runtime environment, not at launch or growth. Agent-tooling is the shelf for MCP data services that keep LLM workflows accurate about compute and power requirements.
How it compares
Reference hardware API over MCP, not a price tracker, benchmark suite, or cloud provisioning skill.
Common Questions / FAQ
Who is TechEnthus Data for?
Indie developers and agent users who need trustworthy GPU, CPU, and PSU specs inside Claude Code, Cursor, or any MCP client that supports remote HTTP servers.
When should I use TechEnthus Data?
Use it while scoping local inference, upgrading a dev machine, or writing scripts that must match exact chip and PSU requirements before you commit to hardware.
How do I add TechEnthus Data to my agent?
Register the remote MCP URL https://data.techenthus.dev/mcp as a streamable-http server in your client’s MCP settings, following your editor’s remote-server docs.