
Call Reason Insights MCP
An MCP server that lets agents query synthetic call-center reason notes through tools for volume summaries, top reasons, emerging problem detection, example re…
What it does
The specific capability behind this listing, and where to get it.
Call Reason Insights MCP
An MCP server that lets agents query synthetic call-center reason notes through tools for volume summaries, top reasons, emerging problem detection, example re…
Official Call Reason Insights 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 Call Reason Insights 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.
Call Reason Insights 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": "call_reason_insights_mcp",
"name": "Call Reason Insights MCP",
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"short_summary": "An MCP server that lets agents query synthetic call-center reason notes through tools for volume summaries, top reasons, emerging problem detection, example re…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
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],
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"headline": "No public price found",
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"confidence": "medium",
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"checked_at": "2026-10-14T01:22:31.394Z",
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"install": "pip install -r requirements.txt python data/generate_call_notes.py --ou",
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"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
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"install": "pip install -r requirements.txt python data/generate_call_notes.py --ou",
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"evidence": {
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],
"excerpt": "l harness can be verified against a known-correct answer instead of eyeballed. Setup pip install -r requirements.txt python data/generate_call_notes.py --out call_notes.d",
"url": "https://github.com/futurerichdad/call-reason-insights-mcp",
"observed_day": "2026-10-15",
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},
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"evidence": "page text: \"e, or topics provided. Resources Readme MIT license Activity Stars 0 stars Watch\"",
"observed_day": "2026-10-15",
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"last_observed_day": "2026-09-20",
"age_days": 27,
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"note": "not verified by the page-text gate"
},
"agent_card": {
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"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
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"endpoint_kind": "site",
"latency_ms": 1448,
"uptime_7d": 1,
"checked_at": "2026-10-16T02:32:59.007Z",
"consecutive_failures": 0,
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},
"price_extras": {
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},
"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."
}