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Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references.
ai.byteask/embedded-docs is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding ai.byteask/embedded-docs to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add ai.byteask/embedded-docs https://mcp.byteask.ai/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-06-19T12:57:43.612963Z",
"publishedAt": "2026-06-19T12:57:43.612963Z",
"statusChangedAt": "2026-06-19T12:57:43.612963Z"
}
},
"server": {
"name": "ai.byteask/embedded-docs",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.byteask.ai/mcp",
"type": "streamable-http"
}
],
"version": "1.0.1",
"repository": {
"url": "https://github.com/ByteAsk/ByteAsk-Embedded-MCP",
"source": "github"
},
"websiteUrl": "https://docs.byteask.ai/embedded",
"description": "Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references."
}
}