ByteAsk Embedded MCP

MCP serverDev tools

embedded-docs gives your AI access to embedded development reference material, including datasheets, MISRA guidelines, CMSIS, and RTOS documentation. When your AI answers a question, it cites the exact page the information came from, so you can verify it quickly.

Use ByteAsk Embedded MCP in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add ByteAsk Embedded MCP and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use ByteAsk Embedded MCP to search docs

Details

Available today. Use it from your connected AI after setup.

After adding it, ask your AI a question about a datasheet, MISRA rule, CMSIS function, or RTOS topic, and it will answer with the page it found the information on.

ByteAsk Embedded MCPStart free

What your AI can do with it

  • Look up embedded development documentation with page citations
  • Find specific details in datasheets
  • Check MISRA coding rules
  • Search CMSIS references
  • Answer questions using RTOS documentation

Install ByteAsk Embedded MCP

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user byteask-embedded-mcp 'https://mcp.byteask.ai/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.byteask.ai/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=byteask-embedded-mcp&config=eyJ1cmwiOiJodHRwczovL21jcC5ieXRlYXNrLmFpL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.byteask.ai/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add byteask-embedded-mcp --url 'https://mcp.byteask.ai/mcp'

    Run it once, then sign in with codex mcp login byteask-embedded-mcp if the server asks for an account.

From the project's README

As published by byteask/byteask-embedded-mcp in README.md.

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

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


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.

uv sync
uv 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.

Claude Code:

claude mcp add --transport http byteask-embedded-docs https://mcp.byteask.ai/mcp
{
  "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:

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:

## 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):

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:

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
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 logging
tests/          # 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.

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

Tools it offers (3)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • search_docs
  • get_context
  • request_document

Signals

GitHub stars
25
Forks
4
Last commit
Jun 2026
Advanced
Delivery
embedded-docs MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
ai-byteask-embedded-docs
Source
github.com/byteask/byteask-embedded-mcp
Hosted endpoint
https://mcp.byteask.ai/mcp