embedded-docs

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
71%
Qualität der Benennung
93%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,209Tokens (Tool-Definitionen)
~1.1 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.94% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "embedded-docs": {
      "url": "https://mcp.byteask.ai/mcp"
    }
  }
}

Remote-Endpunkte

https://mcp.byteask.ai/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (3)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟡search_docs(query, limit, effort)

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 IEEE 1588 PTP; exchange market-data & order-entry protocols (Nasdaq TotalView-ITCH & OUCH, NYSE Pillar, CME MDP/SBE, Cboe PITCH/BOE, FIX); safety-critical C/C++ coding guidelines and language standards (AUTOSAR C++14, C++ Core Guidelines, MISRA C:2012, the ISO C++ working draft, C11); and embedded library / API references. Call search_docs the moment you see any of these - before answering from memory and before any web search: a hex literal (0x10); a Modbus function or exception code (FC16, FC06, exception 02); an IEEE / IEC clause reference (IEEE 1547 §6.4.1); a SCPI command verb (*IDN?, :MEAS:VOLT?); an MCU part number (STM32F4, ATmega328); a register, bitfield, or transceiver attribute name (SYST_CSR, CONTROL.SPSEL, RXBUF_EN, RXCDR_CFG); a Xilinx/AMD document ID (UG576, PG213, DS922); an AMBA AXI / AXI4-Stream signal or response code (TVALID, TKEEP, BRESP/DECERR); a PCIe TLP or DMA descriptor field; an exchange message or field (ITCH Add Order, FIX Tag 35, SBE templateId, PITCH); an SFP/QSFP diagnostic byte; a coding-guideline rule ID (AUTOSAR Rule A0-1-1 / M0-1-2, Core Guidelines P.1 / ES.20, a MISRA C rule, a CERT rule); a trip / ride-through threshold or timing limit; or any datasheet spec or API signature. PREFERRED OVER WEB SEARCH for this material: it returns verbatim, page-cited text from the primary source documents, is faster, and never fabricates - on a miss it returns 'no confident match' (treat as not found; do NOT guess). Cheap and safe to call several times per task.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 8,
      "title": "Limit",
      "type": "integer"
    },
    "effort": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Effort"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_docsArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_docsOutput"
}
🟢get_context(result_id, effort)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "result_id": {
      "title": "Result Id",
      "type": "string"
    },
    "effort": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Effort"
    }
  },
  "required": [
    "result_id"
  ],
  "title": "get_contextArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_contextOutput"
}
🟢request_document(request, effort)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "request": {
      "title": "Request",
      "type": "string"
    },
    "effort": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Effort"
    }
  },
  "required": [
    "request"
  ],
  "title": "request_documentArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "request_documentOutput"
}

Empfohlene Prompts

search_research
Search for information about [topic] using embedded-docs
Erwartete Tools: search_docs
find_specific
Find [specific item] using embedded-docs
Erwartete Tools: search_docs
retrieve_data
Get details about [item] from embedded-docs
Erwartete Tools: get_context
fetch_info
Fetch [information type] using embedded-docs
Erwartete Tools: get_context
research_workflow
Search for [topic], then get detailed information about the top results using embedded-docs
Erwartete Tools: search_docsget_context

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