Best for
- Development scenarios requiring precise, citable embedded documentation facts
- Users wanting quick integration and the ability to plug in custom retrieval backends
ByteAsk Embedded MCP offers a unique and rigorous retrieval approach, focusing on exact facts for embedded development with cited outputs, suitable for high-fidelity agents. However, users should be aware of the distinction between hosted and self-hosted capabilities and the authentication limitations.
Strongest · Documentation 14/20 Weakest · Security and permissions 8/20
Static review · not runListed 2026-09-08
Read the FMRS scoring method →Runtime:Hosted (no local runtime) · Python 3.10+
MCP_HTTP_AUTH_TOKEN
Optional, bearer token for HTTP transport (self-set shared-secret stub); empty means unauthenticated.
BYTEASK_BACKEND
Optional, custom retrieval backend as module:callable returning a SearchBackend; empty uses the bundled SampleBackend.
BYTEASK_LOGS
Optional, directory where query/request JSONL logs are written, defaults to logs.
MCP_TRANSPORT
Optional, transport: stdio (local agents) or http, defaults to stdio.
MCP_HTTP_HOST
Optional, HTTP bind host, defaults to 127.0.0.1.
MCP_HTTP_PORT
Optional, HTTP bind port, defaults to 8000.
MCP_ALLOWED_HOSTS
Optional, comma-separated allowed Host headers for DNS-rebinding protection in HTTP mode; * disables it.
LOG_LEVEL
Optional, stderr log verbosity, defaults to INFO.
uv sync.uv run byteask-embedded-mcp to start the server in stdio mode.{
"mcpServers": {
"byteask-embedded-docs": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.byteask.ai/mcp"
]
}
}
}
Shown for Claude Desktop. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"servers": {
"byteask-embedded-docs": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.byteask.ai/mcp"
]
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
claude mcp add byteask-embedded-docs -- npx -y mcp-remote https://mcp.byteask.ai/mcp
Run it in a terminal; replace any <…> placeholders with your own values first.
After connecting the client to https://mcp.byteask.ai/mcp, search_docs, get_context, and request_document should appear in the tool list; calling search_docs with a known fact (e.g. Modbus function code 16) and getting a verbatim snippet with a page citation confirms the connection works.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
ByteAsk Embedded MCP is an open-source MCP server that provides source-grounded, page-cited evidence retrieval for coding agents that write firmware, driver, or protocol code. It returns verbatim snippets with section and page citations, never an authored answer, and says 'no match' when nothing is relevant rather than fabricate. The server supports both stdio and Streamable HTTP transports and exposes a pluggable retrieval backend interface. This repository includes an in-memory SampleBackend for zero-setup demos; the full corpus and retrieval engine are hosted at https://mcp.byteask.ai/mcp.
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Source revision e7103adab757 Data synced 2026-10-19 Read the FMRS scoring method