About
The JLCPCB Parts MCP Server provides a web interface to search, filter, and retrieve up-to-date component data from JLCPCB's catalog. It streamlines PCB assembly sourcing for designers by offering fast queries and detailed part specifications.
Capabilities
The JLCPCB Parts MCP Server addresses a common pain point for electronics designers: locating the exact components that are compatible with JLCPCB’s PCB assembly (PCBA) services. In a typical design workflow, engineers must sift through vendor catalogs, cross‑reference part numbers, and verify that each component can be sourced directly from JLCPCB. This server consolidates those steps into a single, AI‑ready endpoint that exposes up‑to‑date part data through the Model Context Protocol. By doing so, it removes manual lookup overhead and enables rapid iteration in design reviews or automated build pipelines.
At its core, the server offers a search‑and‑filter API that retrieves component details such as part number, package type, specifications, price, and availability. Developers can embed these capabilities in Claude or other AI assistants to answer queries like “What 10 kΩ resistors are available for 0805 packages?” or “Show me surface‑mount LEDs with a forward voltage of 2.1 V.” The integration is seamless: the MCP exposes resources that the AI client can invoke, returning structured JSON that the assistant can present directly to users or feed into downstream tools.
Key features include:
- Real‑time data pulled straight from JLCPCB’s catalog, ensuring that pricing and stock levels reflect the current supply chain.
- Customizable filters (category, price range, availability) that let users narrow results to exactly what they need.
- User‑friendly interface for manual exploration, which can be leveraged by developers to prototype or validate queries before integrating them into AI workflows.
- Extensible architecture that allows additional query parameters or data fields to be added without breaking existing clients.
Real‑world scenarios where this MCP shines are plentiful. A design team can use an AI assistant to rapidly prototype a PCB layout, instantly querying the server for component availability and cost estimates. An e‑commerce platform could integrate the MCP to auto‑populate product listings with JLCPCB‑compatible parts, ensuring that customers can place orders directly through the manufacturer. In continuous integration pipelines, automated tests could verify that all referenced parts are still in stock before triggering a new build batch.
Because the server exposes its functionality through MCP, it fits naturally into any AI‑centric workflow. Developers can write prompts that ask the assistant to “search for 1 µF capacitors in 0402 package” and receive structured results without writing custom API calls. The server’s simplicity, coupled with its focus on up‑to‑date JLCPCB data, gives it a unique advantage: it is the single source of truth for component compatibility in JLCPCB’s ecosystem, making it an indispensable tool for anyone who relies on that manufacturer.
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