MCP server

Kelvin — power electronics components

io.github.OpenConverters/kelvin

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only parts catalogue for power electronics: search, selection, cross-reference.

Website

At a glance

Type

MCP server

Publisher

openconverters.com (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,277 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http kelvin https://kelvin.openconverters.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.kelvin]
url = "https://kelvin.openconverters.com/mcp"

Gemini CLI

{"mcpServers":{"kelvin":{"httpUrl":"https://kelvin.openconverters.com/mcp"}}}

Cursor

{"mcpServers":{"kelvin":{"url":"https://kelvin.openconverters.com/mcp"}}}

VS Code

{"servers":{"kelvin":{"type":"http","url":"https://kelvin.openconverters.com/mcp"}}}

Antigravity

agy mcp add kelvin https://kelvin.openconverters.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"kelvin","server_url":"https://kelvin.openconverters.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"kelvin","server_url":"https://kelvin.openconverters.com/mcp"}

Tools

• cross_reference ~271 tokens
  Find substitutes for a part by MPN — the deterministic, program-only cross-reference the Kelvin web app runs: pre-gate the catalogue at the ranker's own reject edges, then score every candidate on value, ratings, footprint and mount type. No LLM judgement. An original whose own specs are incomplete
• describe_family ~116 tokens
  The exact field names one family can be filtered, sorted and bucketed on, and the designRequirements keys its selector reads. Call this before search_parts on an unfamiliar family rather than guessing field names.
• list_families ~73 tokens
  Every component family in the TAS catalogue, with how many parts it holds and whether it has a deterministic selector. Start here.
• part_details ~157 tokens
  One part by MPN: its extracted specs and, optionally, the full TAS catalogue record behind them (datasheet URL, mechanical drawing, provenance).
• recommend_parts ~226 tokens
  Kelvin's deterministic selector: rank real parts against a designRequirements block and return the candidates with the margins that ranked them. Same authority Kirchhoff and Heaviside select through — no LLM judgement, reproducible.
• search_parts ~237 tokens
  Parametric search over one family: numeric ranges, categorical values, MPN substring and manufacturer, with optional facet counts. This is the catalogue question — 'what parts do we have that ...' — and needs no converter design.
• spec_distribution ~197 tokens
  How one numeric spec is distributed across a filtered slice of a family — bucket counts (log or linear) plus how many parts state the value at all. Answers 'what is available' questions that a top-N list cannot.

Browse

• GitHub tools
• Project management
• Hiring and jobs
• GitHub and code hosting
• Calling other AI models

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