"OCR agent" matching MCP servers:

Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.

MCP server for deterministic Vivado FPGA automation including project scaffolding, simulation, synthesis, implementation, and gated bitstream generation.

Provides read-only MCP tools for parsing KiCad netlists and schematics, running evidence-based audits, and generating deterministic sizing and BOMs.

Enables AI agents to design hardware by writing C-like HDL and compiling it to Verilog, with real toolchain verification including synthesis checks.

Enables an AI agent to control one or more remote GPIO agents through a conversation by proxying tool calls to their REST APIs. It supports API-key authentication, LAN discovery, and both stdio and Streamable HTTP transports.

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.

Build, deploy, and debug Smart TV web apps on Samsung Tizen and LG webOS TVs from any AI agent.

Enables MCP-capable agents to execute boardless AMD Vivado Project Mode PL development flows through safe, policy-constrained tools while preserving diagnostic and reproducible project evidence.

The agent can't claim the firmware works — until the board says so. Hardware-in-the-loop verification gate: build → flash → boot banner → exit code.

Linkr KVM MCP Server exposes Radxa Linkr KVM controls through the Model Context Protocol (MCP). It lets an MCP client capture screenshots, crop screen areas, send keyboard and mouse events, type text, wait for on-screen text, and ask vision/OCR models about the current screen.

MCP server that lets an AI agent operate a bench oscilloscope over LAN/SCPI to observe physical pin behavior, bridging RTL simulation and hardware testing.

Bridges a RisalDash ESP32/ESP8266 device to MCP — every dashboard widget becomes a get_/set_ tool, so an agent can read sensors and toggle relays.

A minimal MCP server providing synthetic embedded components and NTC fault codes, designed for hands-on workshop exercises with GitHub Copilot Chat Agent mode.

Local MCP server for building an agent-facing integration around DreamSourceLab DSView. Enables native logic capture, protocol decode, and analysis with artifact management for I2C, SPI, and UART.