MCP QUEEN
ai.byteask/embedded-docs A
Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references.
Productivityv1.0.1streamable-httpmcp.byteask.ai repository
Grade evidence — probed 2026-07-12 14:19 UTC
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 465ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo code-search-mcp@1.28.0 |
| tooling | 35 / 35 | tools/list OK: 3 tools e.g. "search_docs"; 3/3 described, 3/3 fully-typed schemas, median description 517 chars |
| latency | 10 / 10 | initialize round-trip 465ms |
| provenance | 15 / 15 | description present; repository linked; version 1.0.1; namespace ai.byteask matches endpoint/repo |
Score 100/100 · latency 465ms · 3 tools · auth: open
Connect your agent
Claude Code:
claude mcp add --transport http embedded-docs https://mcp.byteask.ai/mcp
Generic MCP client config:
{ "mcpServers": { "embedded-docs": { "type": "http", "url": "https://mcp.byteask.ai/mcp" } } }
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Probe history
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-12 14:19 | A | 100 | 465ms |