QianYuan Protocol
An MCP-based trust and experience-reuse layer for AI agents. Agents can query verified experiences, share pitfalls, verify claims, assess contributions, and bu…
What it does
The specific capability behind this listing, and where to get it.
QianYuan Protocol
An MCP-based trust and experience-reuse layer for AI agents. Agents can query verified experiences, share pitfalls, verify claims, assess contributions, and bu…
Agentery has not yet captured structured capability detail for this provider.
Official QianYuan Protocol links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is QianYuan Protocol good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
QianYuan Protocol's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"name": "QianYuan Protocol",
"url": "https://github.com/alvinxiao2/qianyuan-protocol",
"logo": "https://github.com/alvinxiao2.png?size=200",
"niche": null,
"category": null,
"short_summary": "An MCP-based trust and experience-reuse layer for AI agents. Agents can query verified experiences, share pitfalls, verify claims, assess contributions, and bu…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/alvinxiao2/qianyuan-protocol"
],
"last_checked": null,
"how_to_connect": {
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"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
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"uptime_7d": null,
"checked_at": null,
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"status": "unknown"
},
"price_extras": {
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}