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Byteaskai

docs.byteask.ai/embedded official website

# ByteAsk Embedded Docs MCP Page-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and…

infrastructure
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

# ByteAsk Embedded Docs MCP Page-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and firmware engineering references for AI coding agents. **Registry Namespace:** `ai.byteask/embedded-docs` **Endpoint:** `https://mcp.byteask.ai/mcp` **Documentation:** https://docs.byteask.ai/embedded **GitHub:** https://github.com/ByteAsk/ByteAsk-Embedded-MCP --- # Why This MCP Exists Modern AI coding agents are excellent at generating code, but often struggle when working with vendor-specific embedded documentation, hardware reference manuals, firmware SDKs, and coding standards. Embedded engineers routinely need answers from: * STM32 Reference Manuals * ARM Cortex-M Technical Reference Manuals * CMSIS Documentation * FreeRTOS Documentation * Zephyr Documentation * ESP-IDF Documentation * Nordic SDK Documentation * NXP Documentation * MISRA C * MISRA C++ * AUTOSAR * Device Datasheets * Vendor Application Notes Searchi

MCPGitHubGoogle SheetsMCPautonomy: infrastructure
Price status · observed daily

No public commercial pricing observed.

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Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheDocument QA Agent
Price benchmarknot applicable
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "byteaskai",
  "name": "Byteaskai",
  "url": "https://docs.byteask.ai/embedded",
  "logo": "https://agentery.com/logos/CP-KRAG54.svg",
  "niche": "document-qa-agent",
  "category": "research-knowledge-work",
  "short_summary": "# ByteAsk Embedded Docs MCP\n\nPage-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and…",
  "task_performed": "# ByteAsk Embedded Docs MCP\n\nPage-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and firmware engineering references for AI coding agents.\n\n**Registry Namespace:** `ai.byteask/embedded-docs`\n\n**Endpoint:** `https://mcp.byteask.ai/mcp`\n\n**Documentation:** https://docs.byteask.ai/embedded\n\n**GitHub:** https://github.com/ByteAsk/ByteAsk-Embedded-MCP\n\n---\n\n# Why This MCP Exists\n\nModern AI coding agents are excellent at generating code, but often struggle when working with vendor-specific embedded documentation, hardware reference manuals, firmware SDKs, and coding standards.\n\nEmbedded engineers routinely need answers from:\n\n* STM32 Reference Manuals\n* ARM Cortex-M Technical Reference Manuals\n* CMSIS Documentation\n* FreeRTOS Documentation\n* Zephyr Documentation\n* ESP-IDF Documentation\n* Nordic SDK Documentation\n* NXP Documentation\n* MISRA C\n* MISRA C++\n* AUTOSAR\n* Device Datasheets\n* Vendor Application Notes\n\nSearchi",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP",
    "GitHub",
    "Google Sheets"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://docs.byteask.ai/embedded",
    "checked_at": "2026-07-26T06:34:42.357Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://docs.byteask.ai/embedded"
  ],
  "last_checked": "2026-06-30",
  "how_to_connect": {
    "website": "https://docs.byteask.ai/embedded",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 300,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:31:49.820Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}