"Information about Jira Integration" matching MCP servers:

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.

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.

Enables an AI agent to reason about Kconfig trees (Linux, Zephyr, U-Boot, Buildroot) by explaining with file:line why a symbol can't be enabled, then returning the smallest change set that unlocks it, verified by applying it to the real tree. Also supports symbol inspection, select/imply tracing, regex search, config diffing and saving.

Enables LLM control of Moku devices through network discovery, connection management, configuration deployment, and signal routing. Supports graceful ownership handoff between different interfaces (CLI, iPad, LLM) for seamless workflow integration.

Enables reading and configuring an Unfolded Circle Remote Two or Remote 3 through the official Core REST API, exposing activities, touchscreen pages, profiles, integration entities, and physical-button mappings to MCP clients.

Enables read-only diagnosis of QNX 8.0 targets over verified SSH/SFTP, exposing system information, process and IPC state, system logs, and bounded file reads to an MCP client. It helps distinguish idle receivers from real IPC dependency cycles using structured QNX evidence.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

Enables AI agents to query a verified, sourced knowledge base about NVIDIA Jetson devices via the Model Context Protocol, with every claim cited and knowledge gaps explicitly stated.

A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.

Enables AI agents to program, debug, and diagnose STM32H7S3 microcontrollers through SEGGER J-Link, with stateful debug sessions, memory/flash operations, GDB integration, RTT logging, and safety controls.

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

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.

Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.

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.