AgentLore

# ByteAsk Embedded Docs MCP Page-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and firmware engineering references for AI coding agents. **Registry Namespace:** `ai.byteask/embedded-docs` **Endpoint:** `https://mcp.byteask.ai/mcp` **Documentation:** https://docs.byteask.ai/embedded **GitHub:** https://github.com/ByteAsk/ByteAsk-Embedded-MCP --- # Why This MCP Exists Modern AI coding agents are excellent at generating code, but often struggle when working with vendor-specific embedded documentation, hardware reference manuals, firmware SDKs, and coding standards. Embedded engineers routinely need answers from: * STM32 Reference Manuals * ARM Cortex-M Technical Reference Manuals * CMSIS Documentation * FreeRTOS Documentation * Zephyr Documentation * ESP-IDF Documentation * Nordic SDK Documentation * NXP Documentation * MISRA C * MISRA C++ * AUTOSAR * Device Datasheets * Vendor Application Notes Searching these sources manually can require navigating hundreds or thousands of pages of documentation. ByteAsk Embedded Docs MCP gives AI coding agents direct access to these references and returns page-cited answers grounded in source documentation. --- # Features ## Page-Cited Retrieval Every answer is grounded in source documentation with citations to the original reference. This enables engineers to verify claims directly against vendor documentation. --- ## Documentation Search Search across embedded and firmware engineering references. Examples: * Peripheral configuration * Register descriptions * DMA setup * Interrupt handling * Clock configuration * RTOS APIs * MISRA compliance questions * ARM architecture details --- ## Agent-Native Works directly with MCP-compatible tools including: * Claude Code * Claude Desktop * Cursor * Windsurf * VS Code MCP Clients * GitHub Copilot MCP * Any MCP-compatible agent --- ## Remote Hosted No indexing, crawling, or local setup required. The server is hosted by ByteAsk and continuously updated. --- # Example Prompts ## STM32 ```text Find the STM32H7 Ethernet DMA initialization sequence. ``` ```text Show the documentation for STM32 timer input capture. ``` ```text Find the register definition for RCC clock configuration. ``` --- ## ARM Cortex-M ```text Explain NVIC interrupt priority configuration on Cortex-M4. ``` ```text Find documentation for SysTick configuration. ``` ```text Show Cortex-M exception handling behavior. ``` --- ## CMSIS ```text Find the CMSIS documentation for NVIC_SetPriority. ``` ```text Show CMSIS APIs related to interrupt control. ``` --- ## FreeRTOS ```text Find documentation for task notifications. ``` ```text Compare queues and task notifications in FreeRTOS. ``` ```text Show examples of FreeRTOS software timers. ``` --- ## MISRA ```text Find MISRA C rules related to pointer arithmetic. ``` ```text Show MISRA C++ guidance on exception handling. ``` ```text Find rules regarding dynamic memory allocation. ``` --- ## Zephyr ```text Find Zephyr GPIO driver documentation. ``` ```text Show examples of Zephyr work queues. ``` ```text Explain Zephyr device tree configuration. ``` --- # Supported Knowledge Domains ## Embedded Systems * Microcontrollers * SoCs * Device Drivers * Peripherals * DMA * Interrupts * Timers * GPIO * UART * SPI * I2C * CAN * Ethernet * USB ## Firmware Engineering * RTOS Development * Bare-Metal Development * Bootloaders * Hardware Abstraction Layers * Embedded Networking * Memory Management ## Documentation Sources * Reference Manuals * Datasheets * SDK Documentation * Application Notes * Programming Manuals * Technical Reference Manuals * Architecture Specifications ## Coding Standards * MISRA C * MISRA C++ * AUTOSAR * Embedded Best Practices --- # Installation Use the MCP endpoint: ```text https://mcp.byteask.ai/mcp ``` Refer to the documentation for client-specific installation instructions: https://docs.byteask.ai/embedded --- # Example Workflow Engineer asks: ```text How do I configure Ethernet DMA on STM32H7? ``` Agent: 1. Queries ByteAsk Embedded Docs MCP 2. Retrieves relevant documentation sections 3. Produces a grounded answer 4. Includes citations to the source material Result: * Faster debugging * Fewer hallucinations * Traceable answers * Direct access to source references --- # Ideal Users * Embedded Software Engineers * Firmware Engineers * RTOS Developers * Automotive Software Engineers * Safety-Critical Software Teams * Embedded AI Engineers * Hardware Bring-Up Teams * BSP Developers * Driver Developers * Platform Engineers --- # About ByteAsk ByteAsk builds citation-backed retrieval systems for high-value technical knowledge. The Embedded Docs MCP provides page-cited access to embedded and firmware engineering documentation directly inside AI coding workflows. Documentation: https://docs.byteask.ai/embedded GitHub: https://github.com/ByteAsk/ByteAsk-Embedded-MCP Registry: ai.byteask/embedded-docs

Reel scripts, hooks, and the **P.U.L.S.E.™** practice diagnostic for cosmetic dental, medical spa, and plastic surgery practices. ## Tools - **`get_reel_script_sample(niche, angle?)`** — Returns one full reel script (Hook + Body + CTA + Format Note). - **`get_hook_examples(niche, count)`** — Returns 1–5 hooks with framework explanation. - **`get_pulse_diagnostic()`** — Returns the P.U.L.S.E. five-phase framework (Positioning, Uniqueness, Local intelligence, Scripting, Experience) plus a 5-question self-diagnostic. - **`find_pack(practice_type)`** — Fuzzy-matches a practice description to the right Cakesmash niche pack. ## Niches `cosmetic-dental` · `med-spa` · `plastic-surgery` 90 brain-trust-passed scripts loaded at startup. No auth required. Returns full creative plus a direct path to the Cakesmash Media storefront. Built by [Cakesmash Media](https://cakesmashmedia.com) — Revenue Architecture for elite medical practices.

Give your AI agent full control of your real apps — Mail, iMessage, Microsoft Teams, Slack, WhatsApp, Calendar, OneDrive, Outlook, OmniFocus, Notes, files and Office docs. 143 tools, 100% local, no API keys. Reaches what cloud connectors can't. Mac + Windows.

Store and retrieve semantic memories using advanced vector search and intelligence-driven insight extraction. Organize knowledge across projects with secure access controls and comprehensive system health monitoring. Optimize your information flow by detecting duplicates and analyzing usage patterns for better decision support.

Store and retrieve semantic memories using advanced vector search and intelligence-driven insight extraction. Organize knowledge across projects with secure access controls and comprehensive system health monitoring. Optimize your information flow by detecting duplicates and analyzing usage patterns for better decision support.

AI-agent invoice generator: PDF, JSON & UBL in 11 languages via the Invovate API.