# See repository for install instructions
{
"mcpServers": {
"aibyteask-embedded-docs": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"aibyteask-embedded-docs": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"aibyteask-embedded-docs": {
"command": "npx",
"args": []
}
}
}
TRY THIS MCP
About This MCP Server
The ai.byteask/embedded-docs server is a Model Context Protocol server that provides page-cited retrieval for various embedded system documents and references, including datasheets, MISRA, CMSIS, and RTOS references. It enables remote access to these resources, allowing developers to integrate them into their AI coding workflows. Developers working on embedded systems projects would use this server to access relevant documentation and references, streamlining their development process.
Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the streamable-http transport.
What tools does it provide?
The embedded-docs server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.
