"Learning or Writing Code in Python" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Build, check and open Arduino, ESP32 and Pico circuits with code in the Mokxi simulator.
EasyGerber brings AI printed circuit board (PCB) design, layout, and routing to MCP-compatible assistants. Describe a circuit or start from firmware pin assignments, search published electronic components, and build schematics using catalog parts with their footprints and available 3D models. Create and revise boards, generate layouts with automatic component placement and routing, inspect previews, and check saved layouts for blocking design issues. Export manufacturing ZIPs containing Gerber and drill files, a bill of materials, and component placement data, or download an editable EasyGerber (.egb) file. Start without signing up. Your agent uses one private board reference to create and continue a board, including catalog access, edits, layout, checks, previews, and exports, without a separate guest setup step or token to manage. To keep the board in your account or work with permitted saved personal or organization boards, complete EasyGerber sign-in and OAuth consent, then resume the same task. Account permissions, plan limits, and generation billing apply; support depends on your MCP client and installed integration.
RF module design for AI assistants: transmit chains, receivers, link budgets, PCB stackups, thermal and compliance, every figure computed by a solver from real catalog parts, never guessed. Free, no sign-in.
Design perfboard and stripboard layouts, check the wiring and get a link to open them in the editor.
Arduino benches simulated in the browser: sessions, sketch push, simulation, tests, challenges.
IC datasheet search: parametric part finding, spec lookup, price comparison — grounded in real PDFs.
Query Allen-Bradley and Siemens PLC projects, live tag values, and analyses in plain English.
Board repair in your chat: open boardviews and schematics, trace nets and rails, plan measurements.
The physical layer for AI agents. Fizzlayer connects AI agents to the real world: pair a Raspberry Pi, ESP32, or phone, bring any sensor over HTTPS, and ask in plain English or connect over MCP. Tools: list_sensors, get_readings, list_alerts, create_alert, pair_device. Bearer token required, created on the Agents page.
