ai.byteask/embedded-docs

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

Install

Remote server: your requests and data go to mcp.byteask.ai. Claude Code: claude mcp add --transport http embedded-docs https://mcp.byteask.ai/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

• search_docs — Search the indexed embedded / firmware / hardware reference corpus; return verbatim, page-cited evidence. The indexed corpus covers: grid-in
• 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 to
• 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 stan

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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