MCP server

Embedded Docs

ai.byteask/embedded-docs

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

byteask.ai (verified by the MCP Registry)

Status

Working at last check

Tools

3

Token cost

About 1,067 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.embedded-docs]
url = "https://mcp.byteask.ai/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add embedded-docs https://mcp.byteask.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"embedded-docs","server_url":"https://mcp.byteask.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"embedded-docs","server_url":"https://mcp.byteask.ai/mcp"}

Tools

• get_context ~174 tokens
  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 le
• request_document ~229 tokens
  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
• search_docs ~664 tokens
  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,

Browse

• IPv4 tools
• Converting to Markdown

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