Big Interview MCP
A local MCP server that uses Playwright to let AI agents scan resumes against job descriptions on Big Interview ResumeAI, retrieve structured feedback, and rep…
What it does
The specific capability behind this listing, and where to get it.
Big Interview MCP
A local MCP server that uses Playwright to let AI agents scan resumes against job descriptions on Big Interview ResumeAI, retrieve structured feedback, and rep…
Agentery has not yet captured structured capability detail for this provider.
Official Big Interview MCP 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 Big Interview MCP 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.
Big Interview MCP's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "biginterview_mcp",
"name": "Big Interview MCP",
"url": "https://github.com/devpatel25/Biginterview-MCP",
"logo": "https://www.google.com/s2/favicons?domain=github.com&sz=128",
"niche": null,
"category": null,
"short_summary": "A local MCP server that uses Playwright to let AI agents scan resumes against job descriptions on Big Interview ResumeAI, retrieve structured feedback, and rep…",
"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/devpatel25/Biginterview-MCP"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/devpatel25/Biginterview-MCP",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
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"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}