"Accessing call logs on iPhone" matching MCP servers:

A headless MCP server that enables AI tools (like Claude Code) to read and analyze serial logs from embedded boards (ESP32, STM32) for firmware debugging, with read-only tools for log retrieval and a built-in web viewer.

Agentic Hardware-in-the-Loop (Agentic HIL) lets coding agents develop firmware on real embedded boards: flash, reset, read UART and exchange CAN traffic, diagnose and fix. Local, policy-gated MCP tools support OpenOCD, pyOCD and STM32CubeProgrammer, with pytest for CI.

Local, read-only MCP server for inspecting DBC files and decoding CAN capture logs, with bounded and composable tools.

Enables MCP clients to discover connected gadgets, read their state and events, and route commands to them over versioned device contracts on local USB and TCP transports. Ships with a configurable software simulator so device interactions can be exercised without physical hardware.

Enables Claude to create, update, and manage LED patterns on a PixelBlaze controller, including setting brightness and reading device info, through a set of tools that interact with the device's API.

Lets LLM clients control a persistent AMD/Xilinx Vivado TCL session on Windows, avoiding repeated startup cost with native process handling.

AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.

Enables AI agents to control and display real-time notifications, telemetry, and custom apps on Ulanzi TC001 and compatible pixel clocks running Awtrix Light, including device management and declarative YAML-based metric polling.

MCP server enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.

A stateful Bluetooth Low Energy (BLE) MCP server that enables AI agents to scan, connect, read/write characteristics, and subscribe to notifications on BLE devices.

An MCP server that enables AI agents to read serial output from devices by buffering lines in the background and allowing polling for new output, preventing blocking on long-running serial monitors.

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

This server enables AI coding agents to build, boot, drive and test ESP-IDF firmware in a local ESP32 emulator, capturing UART logs, injecting hardware events, asserting output, and taking screenshots without a physical board or cloud account.

Enables MCP-capable agents to drive a real FPGA toolchain end to end—simulating, asserting, synthesizing, scanning JTAG, capturing on-chip waveforms, and configuring real silicon behind confirmation gates.

Enables AI agents to discover and manage embedded boards, and perform serial communication through a TCP gateway, supporting commands, logs, and transactional exchanges.

Enables AI agents to debug STM32 firmware on real hardware by driving GDB with OpenOCD/ST-Link/J-Link to flash, set breakpoints, inspect memory, registers and RTOS state, triage HardFaults, and profile. Returns decoded, structured evidence and suggested next actions instead of raw GDB text, with composite tools that collapse multi-step debug loops into single calls.

Automates Arduino CLI workflows including dependency checks, compile/upload, serial monitoring, and safety preflight checks, all running locally on your machine.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

An MCP server that judges hardware behavior against timing or serial contracts, returning pass/marginal/fail verdicts for coding agents to iterate on real signal measurements.

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.