Embedded Docs is a Model Context Protocol (MCP) server: Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.
It's a hosted (remote) server — point your client at https://mcp.byteask.ai/mcp and you're connected, with nothing to install locally. The current release is v1.0.1, published under the MIT license, with source at ByteAsk/ByteAsk-Embedded-MCP on GitHub, where it has earned 23 stars.
You'll find Embedded Docs in the Development category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Embedded Docs for byteask.ai, claim this listing to verify ownership, earn the Verified badge, and keep the details current.