kicad-sch-api brings KiCad schematic access to LLMs via MCP
kicad-sch-api, from Circuit Synth, is an MCP server that gives AI models structured access to KiCad schematic files for analysis and search. The tool parses schematic source files and exposes searchable, machine-readable context to AI hosts, enabling tasks like component lookup, netlist extraction, and hierarchical traversal. It targets hardware engineers, PCB designers, and developers who need programmatic schematic context to support automated reviews and AI-assisted design workflows.
What tasks can you actually use it for?
The server converts schematic source files into data an AI can query, producing outputs that support automated design checks and audits. For example, it exposes component and symbol lookup by reference, value, or footprint, and it provides netlist and pin connectivity details useful for connectivity validation. These outputs let an AI supply structured responses about part counts, connectivity mismatches, and schematic metadata without manual file inspection.
How reliable are the tool's outputs for engineering work?
Outputs derive directly from the schematic source, so their reliability depends on the file's fidelity; the implementation extracts netlist information, pin connections, and metadata such as versioning and generator fields. That extraction supports programmatic checks, but any AI-generated recommendation should be reviewed by an engineer because the server supplies context for models rather than enforcing design changes.
What inputs and environment does it require?
The server accepts KiCad's S-expression schematic files introduced in KiCad 6.0 and later, and it parses those files without the KiCad GUI running. It typically runs in a Node.js environment and is compatible with Windows, macOS, and Linux. The server also requires an MCP-compliant host to expose context to an LLM, so deployment includes both the MCP host and the local server component.
How does it fit into an engineer's workflow and data handling practices?
The tool integrates with MCP-compliant hosts such as Claude Desktop and Cursor, enabling AI assistants to query schematic context during design review or automation tasks. Because MCP is an open standard for local tool access, the server is positioned to provide local, structured context to models; teams should confirm their MCP host's data policies before using the server in sensitive workflows. The implementation focuses on read and search capabilities rather than guaranteed write automation.
A practical bridge for AI-aided schematic review, with an emphasis on local context
kicad-sch-api is a practical option for hardware engineers who need machine-readable schematic context for LLM-driven analysis, because it exposes searchable schematic data to MCP hosts. Expect to pair the server with an MCP-compliant assistant and to treat AI suggestions as advisory, subject to human verification. The tool suits workflows that integrate programmatic checks and AI-assisted review rather than automatic, unapplied edits.
Pros
Parses KiCad .kicad_sch files into machine-readable representations
Extracts netlist and pin connectivity for programmatic checks
Integrates with MCP hosts like Claude Desktop and Cursor
Supports hierarchical schematic structures used in modern KiCad projects
Cons
Primary focus on read/search; write operations depend on server version
Requires an MCP-compliant host to expose schematic context to LLMs
Designed for KiCad S-expression format, limiting older schematic formats
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