MCP server
Partsgraph Catalog Official
ai.partsgraph/catalog
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search real parts with datasheet-provenance specs, check compatibility and compose priced BOMs.
Working at last checkVerified publisher: partsgraph.aiAbout 1,963 tokens per request once connected11 tools
https://partsgraph.ai/api/mcp
At a glance
- Type
- MCP server
- Publisher
- partsgraph.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 11
- Token cost
- About 1,963 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
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 catalog https://partsgraph.ai/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.catalog] url = "https://partsgraph.ai/api/mcp"
Gemini CLI
{"mcpServers":{"catalog":{"httpUrl":"https://partsgraph.ai/api/mcp"}}}
Cursor
{"mcpServers":{"catalog":{"url":"https://partsgraph.ai/api/mcp"}}}
VS Code
{"servers":{"catalog":{"type":"http","url":"https://partsgraph.ai/api/mcp"}}}
Antigravity
agy mcp add catalog https://partsgraph.ai/api/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":"catalog","server_url":"https://partsgraph.ai/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"catalog","server_url":"https://partsgraph.ai/api/mcp"}
Tools
build_bom~249 tokens
Composes a complete BOM for a reference build — quantities, dated indicative prices, per-line rationale, a compatibility verdict for the chosen set, and a CSV export. Override any role with choices.check_compatibility~240 tokens
Evaluates a part set against the build's engineering constraints — supply windows, stall vs peak current, shaft/wheel fit, interfaces, solar chain — with a reasoned verdict per check. Every number cited is a corroborated attribute.compare_parts~197 tokens
Aligned attribute-by-attribute comparison of two catalogue parts. Absence means the sources did not state a value — never that the part lacks the property.fetch~99 tokens
Fetch the full provenance-backed record for a search result id as a citable document. Alias of get_part shaped to the search/fetch connector contract.get_part~189 tokens
The complete canonical record for one part: every attribute with its provenance (source, page, verbatim quote, file hash), vendors with dated indicative prices, and datasheet links.get_provenance~222 tokens
The receipt behind a stated value: the verbatim source quote, the page, the extraction method, and the sha-256 of the exact file it was read from — plus a ready-made citation line. Omit code for every attribute's receipt.list_builds~148 tokens
The catalogue's reference builds (robot, weather station, plant waterer) with their roles and candidate parts — the starting point for build_bom.list_categories~123 tokens
Every category in the catalogue with its part count.search~97 tokens
Search the Partsgraph demo catalogue. Returns result ids for fetch. Alias of search_parts shaped to the search/fetch connector contract.search_parts~245 tokens
Full-text search over the demo catalogue's provenance-backed part records. Filter by category, build or role. Every attribute returned was corroborated against the manufacturer datasheet or vendor page.view_bom~154 tokens
Composes the BOM for a reference build and renders it as an interactive view in clients that support MCP Apps. Same data as build_bom.
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