Embedded Docs

ai.byteask由 byteask.ai 發布官方發布者v1.0.1更新於 Oct 24, 2026

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

已驗證Streamable HTTP可網頁執行知識與記憶開發者工具

概覽

AI 產生的概覽

遠端 MCP 伺服器,讓助理檢索嵌入式、韌體與硬體參考文件,回傳逐字原文並標註頁碼的片段,而不是憑猜測給出的數值。

可以做什麼
  • 檢索嵌入式、韌體與硬體參考語料(電網與 DER 標準、現場匯流排協定、資料手冊、MISRA、CMSIS、RTOS、SCPI),回傳附章節與頁碼引用的排序結果
  • 將某筆檢索結果展開為完整的逐字原文小節(markdown)
  • 當檢索沒有可靠符合項目時,請求把缺少的文件加入語料庫
  • 在相關內容不足時明確回覆「無符合項目」,而不是給出自行撰寫的答案
適用情境
適合撰寫韌體、驅動程式或協定程式碼、需要精確暫存器位移、Modbus 功能碼、SunSpec 點位、跳脫閾值、SCPI 指令或 API 符號的編碼助理,希望取得有出處的原文而非憑記憶的數值。
執行需求
託管端點無需安裝,使用 Streamable HTTP;部分用戶端透過 mcp-remote 橋接連線。在本機執行開源伺服器需要 Python 3.10 以上與 uv;選用環境變數可設定後端、傳輸方式、HTTP 綁定位址、bearer 權杖、允許的主機與日誌位置。
安裝前請注意
託管端點背後是授權語料庫,查詢會在伺服器端記錄;本機伺服器會把查詢與請求以 JSONL 日誌寫入可設定的目錄。內建的 HTTP bearer 驗證被說明為佔位實作,未設定權杖時伺服器處於未驗證狀態,對外公開前應先強化。文件請求同樣會在伺服器端記錄。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Embedded Docs,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.byteask%2Fembedded-docs/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

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

README

ByteAsk Embedded MCP

Page-cited answers from embedded & firmware reference docs — for coding agents that can't afford to guess a register value.

[smithery badge] [License: MIT] [Python 3.10+] [Model Context Protocol] [Status: beta] [PRs welcome] [Hosted]

Official MCP Registry Namespace: ai.byteask/embedded-docs · Remote MCP Endpoint: https://mcp.byteask.ai/mcp

Quickstart · Tools · Connect a client · Configuration · Hosted server · Contributing

[A coding agent reaches for ETH_DMATDLAR from memory; byteask reads the corpus and the line snaps to the cited ETH_DMACTXDLAR with a page citation.]

ByteAsk Embedded MCP is the open-source server behind ByteAsk Embedded Docs: a source-grounded, page-cited evidence-retrieval MCP server for coding agents (Claude Code, Codex, Cursor) that write firmware / driver / protocol code and need exact facts — SunSpec points, register offsets, Modbus function codes, trip thresholds, SCPI commands, API symbols.

It returns verbatim snippets with page citations — never an authored answer — and when nothing is relevant enough it says no match rather than fabricate. Every document is treated equally: no authority layer, no filters.

[!NOTE] What's in this repo: the MCP server — tools, transports (stdio + Streamable HTTP), bearer auth, DNS-rebinding protection, result rendering — plus a small, pluggable retrieval interface.

What's not in this repo: the retrieval engine and the document corpus. How documents are parsed, chunked, embedded, and ranked, and the licensed source material itself, sit behind the SearchBackend seam and power the hosted endpoint at https://mcp.byteask.ai/mcp. This repo ships an in-memory SampleBackend (a few illustrative, public-knowledge records) so the server runs out of the box.

Why

  • Cited, or nothing. Every hit is verbatim source text with a section + page citation. On a miss it returns an honest "no confident match" — it never invents a register value.
  • Built for coding agents. The tool descriptions and triggers are tuned so agents call search_docs reflexively the moment they see a hex literal, a Modbus code, an IEEE clause, a SCPI verb, or an MCU part number — before answering from memory.
  • Two transports, one server. stdio for local agents, Streamable HTTP for hosted.
  • Bring your own retrieval. The search engine is a two-method interface — swap in anything behind BYTEASK_BACKEND without touching the server.
  • Zero-setup demo. The bundled SampleBackend runs immediately. No API keys.

Quickstart

Requires Python ≥ 3.10 and uv.

bash
uv syncuv run byteask-embedded-mcp        # run as an MCP server (stdio)

That's it — the bundled SampleBackend serves a couple of illustrative records, so search_docs works immediately. Run the offline tests with uv run pytest.

Connect a client

Hosted (no install)

The hosted server speaks Streamable HTTP at https://mcp.byteask.ai/mcp and is backed by the full licensed corpus.

[Add to Cursor]

Claude Code:

bash
claude mcp add --transport http byteask-embedded-docs https://mcp.byteask.ai/mcp
Codex, Cursor, and other clients (mcp-remote)
json
{  "mcpServers": {    "byteask-embedded-docs": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.byteask.ai/mcp"]    }  }}

Local (this repo)

The project-scoped .mcp.json registers the stdio server for clients that read it. Manually, for Claude Code:

bash
claude mcp add byteask-embedded-docs -- uv run byteask-embedded-mcp

Tools

Input is natural language (or an exact identifier). Output is compact markdown.

ToolWhat it does
search_docs(query, limit=8)Search the corpus; return ranked, page-cited evidence. Each hit has a document title, a section + page citation, the verbatim snippet, and a result_id. A "no confident match" response means not found — do not fabricate.
get_context(result_id)Expand a hit to its full source section.
request_document(request)Ask for a missing document to be added (logged server-side).

Example output:

markdown
## Results for "what Modbus function code writes multiple registers"
### Sample — Modbus Application Protocol (illustrative) — §6.12, p.30> Function code 16 (0x10), Write Multiple Registers, writes a block of contiguous> holding registers (1 to 123 registers) in a remote device. ..._ref: sample:modbus-fc16_

Plug in your own retrieval

The server depends only on a two-method interface (backend.py):

python
class SearchBackend(Protocol):    def search(self, query, limit=8, effort=None) -> dict: ...    def get_context(self, result_id, effort=None) -> dict: ...

Implement it, expose a factory make_backend(config) -> SearchBackend, and point the server at it:

bash
BYTEASK_BACKEND="my_pkg.my_module:make_backend"

The exact return-value contracts are documented at the top of backend.py.

Configuration

All settings are environment variables (loaded from .env; see .env.example).

VariableDefaultNotes
BYTEASK_BACKEND—module:callable returning a SearchBackend; empty → SampleBackend
BYTEASK_LOGSlogswhere query / request JSONL logs are written
MCP_TRANSPORTstdiostdio (local agents) or http
MCP_HTTP_HOST / MCP_HTTP_PORT127.0.0.1 / 8000HTTP bind address
MCP_HTTP_AUTH_TOKEN—bearer token for HTTP (empty = unauthenticated, dev only)
MCP_ALLOWED_HOSTS—comma-separated hosts allowed in the Host header (* disables)
LOG_LEVELINFOstderr log verbosity
Running over HTTP
bash
MCP_TRANSPORT=http MCP_HTTP_AUTH_TOKEN=$(openssl rand -hex 32) \  uv run byteask-embedded-mcp --host 0.0.0.0 --port 8000

Clients then send Authorization: Bearer <token>. The bundled bearer check is a shared-secret stub — replace it with real auth (OAuth 2.1 resource server, mTLS, or a trusted reverse proxy) before exposing publicly. DNS-rebinding protection stays on independently via MCP_ALLOWED_HOSTS.

Hosted server

You don't need to run anything to use ByteAsk Embedded Docs. The hosted server gives Claude Code, Codex, Cursor, and any MCP client exact, page-cited facts from embedded and firmware reference docs — register maps, protocol function codes, SCPI commands, standard thresholds, datasheet specs. The guarantee: verbatim source, or "no match" — never an invented value.

Namebyteask-embedded-docs
Endpointhttps://mcp.byteask.ai/mcp (Streamable HTTP)
Docs & per-client setuphttps://docs.byteask.ai/embedded

This repository is the open-source server that powers that endpoint.

Project layout

src/byteask_embedded_mcp/  server.py     # FastMCP app + 3 tools (search_docs, get_context, request_document)  backend.py    # SearchBackend protocol + in-memory SampleBackend (swap for real retrieval)  render.py     # structured result -> compact markdown  http_auth.py  # Streamable HTTP entrypoint + stub bearer-token guard  config.py     # server config (transport, logging, backend selection)  schemas.py    # Hit / Section result types  obs.py        # per-call JSONL loggingtests/          # offline unit tests (renderer, backend, server tools)assets/         # README demo GIF + its deterministic generator

Security

  • stdout stays clean in stdio mode (it is the JSON-RPC channel); all logs go to stderr / logs/*.jsonl.
  • The HTTP bearer check is a stub — unauthenticated if no token is set, a shared secret at best. Harden it before exposing widely.
  • DNS-rebinding protection is on by default for the HTTP transport.

Contributing

PRs and issues are welcome.

bash
uv sync            # install (incl. dev tools)uv run pytest      # run the offline test suite

A few conventions to keep the server clean:

  • The backend seam is the extension point. Retrieval internals (parsing, chunking, embeddings, ranking) are intentionally out of scope here — build them behind SearchBackend in your own package, not in this repo.
  • Keep the dependency surface small and the stdio path free of the HTTP stack.
  • Add a test for new behavior; the suite is fully offline (no network, no keys).

License

MIT © ByteAsk

來源:README.md,提交 e7103ad

工具

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 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

輸入參數limitquery必填effort

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.

輸入參數effortresult_id必填

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.

輸入參數effortrequest必填

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

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