ai.byteask/embedded-docs

embedded-docs

Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references.

1.0.1
Version
remote
Transport
3
Tools

Security review

Review passed

Reviewed 1h ago.

  • tools: 3 tools scanned
  • metadata: scanned

No findings.

Tools (3)

  • search_docs

    Search the indexed embedded / firmware / hardware reference corpus; return verbatim, page-cited evidence. The indexed corpus covers: grid-interconnection & DER standards (IEEE 1547 / 1547.1 / 2030.5, SunSpec Modbus profiles, ENA G98/G99 and other grid codes); industrial & fieldbus protocols (Modbus, CAN / ISO-TP, MQTT); SCPI instrument-programming manuals (power analysers, grid simulators, programmable AC sources); Arm Cortex-M and other MCU / hardware datasheets (registers, bitfields, reset values); FPGA transceivers, silicon & toolchain (AMD/Xilinx UltraScale GTH/GTY/GTM and 7-series GTX, SelectIO/clocking, Vivado & Vitis HLS, device datasheets) plus networking & interface IP product guides (10G/25G and 100G Ethernet, PCIe integrated block, XDMA/QDMA/AXI-DMA, DDR4 memory IP); bus & interconnect specs (AMBA AXI and AXI4-Stream); optical-module management (SFF-8472/8636 SFP+/QSFP DDM); networking protocol RFCs (IPv4, TCP, UDP, ARP, Internet checksum), the PCIe Base Specification and IE

  • get_context

    Expand a previous search hit to its full verbatim section (markdown). Args: result_id: The id from a search_docs hit's `_ref:` line - the token inside the backticks, e.g. E1_Nasdaq_ITCH-5.0:1.2:1:0. Pass it exactly. effort: Internal diagnostics tag; clients should leave this unset.

  • request_document

    Request that a document be ADDED to the corpus - use this when search_docs returns 'no confident match' for material it should cover (a standard, protocol spec, SCPI or instrument manual, MCU / hardware datasheet, or library reference). This does NOT search; use search_docs for that. Pass ONE string with as much as you know: the document title or standard number, a URL if you have one, the edition / version, and what you were looking for. Requests are reviewed and the document is typically added within 24 hours.