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ByteAsk Embedded MCP

Community
Page-cited evidence retrieval for embedded and firmware coding agents.
GitHub source repository ↗
★ 23 Stars Category · Dev Tools Popular Source revision e7103adab757
54FMRS · D

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.

Reliability
10/20
Security and permissions
8/20
Maintenance
9/20
Documentation
14/20
Setup experience
13/20
Read the FMRS scoring method →

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.

Tools

search_docs
Search the corpus and return ranked, page-cited evidence.
get_context
Expand a hit to its full source section.
request_document
Ask for a missing document to be added (logged server-side).

Setup

  1. Ensure Python ≥3.10 and uv are installed. 2. Clone the repository and run uv sync. 3. Run uv run byteask-embedded-mcp to start the server in stdio mode. 4. Alternatively, connect directly to the hosted endpoint https://mcp.byteask.ai/mcp (Streamable HTTP).
claude_desktop_config.json
{
  "mcpServers": {
    "byteask-embedded-docs": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.byteask.ai/mcp"
      ]
    }
  }
}

Fit and risk

Best for

  • Development scenarios requiring precise, citable embedded documentation facts
  • Users wanting quick integration and the ability to plug in custom retrieval backends

Not for

  • Applications needing natural-language summaries or non-verbatim answers
  • Scenarios where the full corpus is required but self-hosting is insufficient
  • Users who need authoritative source verification or dedicated support

Required permissions

  • Accepts queries and returns retrieval results
  • Can request document additions (logged only)
  • HTTP server and authentication on local network

Risks and side effects

  • Full retrieval capability is only available via the hosted service; self-hosted backend is illustrative and may not cover all documents.
  • The HTTP transport's bearer authentication is a stub; replace with production-grade auth before public deployment.
  • DNS-rebinding protection exists, but additional hardening is needed when exposing publicly.
  • Tool outputs come from documents that may be unofficial or outdated; users should verify facts.

Troubleshooting

  1. Ensure Python version meets requirements (≥3.10) and uv is installed.
  2. Run `uv run pytest` to check basic functionality.
  3. Check environment variables like `BYTEASK_BACKEND`, `MCP_TRANSPORT`, `MCP_HTTP_AUTH_TOKEN`.
  4. If using local backend, inspect logs directory (`BYTEASK_LOGS`) to debug issues.

Use cases

Firmware development where exact facts like register offsets, Modbus function codes, SCPI commands are needed.
Coding agents that require verbatim snippets with page citations rather than paraphrased answers.
Experimenting with a zero-config sample backend before deciding on a self-hosted retrieval service.

Supported clients

Claude DesktopFull support
CodexFull support
CursorFull support