"Guide to Trading Solana on MEXC" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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 creates a private guest session for one board, including catalog access, edits, layout, checks, previews, and exports. Sign in through OAuth to work with saved account boards, access permitted organization boards, or save the guest design to your account. Guest support depends on your MCP client and installed integration.
M12 lens and C-mount lens finder with image-sensor matching and field-of-view calculator.
Design perfboard and stripboard layouts, check the wiring and get a link to open them in the editor.
Which cellular IoT modules work on which networks: 465 networks, 172 countries, device verdicts
Intel HEX type-00 count, input discarded
Intel HEX record count, input discarded
ELF magic e_type band, bytes discarded
Motorola S-record count, input discarded
Octopart MCP — electronic component search via the Nexar Supply API (GraphQL)
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.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
