pcb-copilot brings PCB schematics to AI via MCP
pcb-copilot, developed by Ee In A Box, exposes PCB design context to AI assistants so cross-functional teams can query schematics and nets. The tool acts as an MCP server that answers natural-language questions about component values, pinouts, and net connectivity using portable .db snapshots exported from Altium. Key capabilities include schematic Q&A, net tracing across sheets, and structured schematic audits. It targets firmware, mechanical, test, and hardware engineers who need design visibility without running EDA software.
You can query component details and net connectivity from snapshots
The tool converts portable design snapshots into a queryable data source, so non-EDA users can ask about component values, pin assignments, and how nets connect across sheets. Common tasks it supports include targeted Q&A about parts, following a net through multiple schematic pages, and producing structured review prompts for schematic audits. These outputs are formatted for MCP-compatible AI clients to consume directly.
Output usefulness depends on snapshot fidelity and the MCP host
Responses reflect the contents of the supplied .db snapshot rather than a live project, so accuracy aligns with how complete the exported snapshot is. The tool runs as a Model Context Protocol server, which means an MCP client such as Claude Desktop supplies the assistant interface; that client shapes how answers appear and how interactive follow-ups behave. Use results for inspection and preparatory review rather than as the sole basis for final approvals.
It requires specific inputs and a compatible host to operate
Setup requires a .db snapshot generated by the altium-copilot utility and an MCP-compatible host, a constraint documented by the platform requirements. The snapshot is a portable SQLite database that the server reads; it does not open native EDA sessions. This input model simplifies sharing but prevents in-place edits or live synchronization with an open Altium project.
Fits cross-disciplinary workflows but needs local setup and snapshot discipline
The tool is designed to let firmware and mechanical engineers inspect hardware designs without installing EDA software, supporting cross-functional review when teams share .db files. The server runs locally and, as implemented, does not log or transmit schematic data to external servers beyond the AI provider used, which supports on-premise control of files. Teams should adopt a consistent snapshot creation routine to keep shared context current.
Practical for teams that accept snapshot-based, AI-assisted review
pcb-copilot is a practical option for cross-functional teams that need AI-accessible design context and want to avoid installing full EDA tools. Its value depends on disciplined snapshot management and pairing AI queries with human review for verification. Tip: standardize .db snapshot exports and include revision notes so AI-driven queries reference the intended project state during collaborative reviews.
