"Google BigQuery cloud data warehouse service" matching MCP servers:

Enables querying PCB and schematic data and driving DelphiScript automation in Altium Designer via MCP.

Enables LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.

An MCP server that turns Gowin EDA build reports into structured data.

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.

An MCP server that exposes WLAN Pi capabilities like device info, Wi-Fi scanning, service management, and VLANs to AI assistants via the wlanpi-core REST API.

Enables AI agents to turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.

Enables MCP clients to connect to and interact with Siemens PLCs via python-snap7, supporting read/write operations on data blocks, memory, timers, counters, and CPU management.

Enables AI assistants to manage and monitor Eclipse Kura IoT gateways through their REST APIs, supporting device configuration, deployment, and cloud connectivity.

A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.

An MCP server for ROS 2 environments that connects via rosbridge WebSocket, enabling topic/service introspection, publish/subscribe, service calls, robot connectivity checks, and polishing pipeline operations.

Enables AI tools like Claude Code and Codex CLI to read and write serial port data, facilitating embedded development workflows such as coding, flashing, and debugging.

Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.

Enables AI agents to communicate with UART/serial devices, offering tools for port management, data read/write, and protocol handling.

Enables cloud LLM agents to discover and invoke physical hardware on edge and IoT devices through standard MCP tools, bridging constrained device channels like UART, BLE, and Wi-Fi.

Exposes 20 vehicle-security tools to AI coding agents such as Claude Code and Cursor, enabling them to send, fuzz, and analyze CAN frames, run UDS diagnostics and seed-key handshakes, simulate DoIP ECUs, and decode ISO-TP, J1939, DBC, and V2X data. Everything runs against a virtual CAN bus, so no vehicle or hardware is required.

An open-source MCP server that bridges AI models with industrial equipment, supporting multiple protocols like Modbus, OPC UA, and MQTT for reading data and controlling machines.

MCP server that exposes RS485 bus connectivity, enabling AI assistants to read and write serial data to RS485 devices through tools like list_ports, connect_rs485, and read_rs485.

Serves verified register data extracted from chip datasheets to AI coding agents, enabling register lookup, bit-field decode/encode, errata checks, document search, and init sequence retrieval.

Enables LLMs to interact with vehicle CAN bus and OBD-II data through a simulated ECU environment. Provides tools for reading frames, decoding messages via DBC files, monitoring signals, and querying automotive diagnostics without requiring physical hardware.