CallOptix MCP

Turn your customer calls into data you can talk to.

Connect an MCP-compatible AI assistant to your CallOptix workspace. Ask questions about customer conversations, deals, team performance, and coaching—and investigate the calls behind the answers.

Open CallOptix
Explore 25 questions you can ask

For MCP-compatible assistants, including ChatGPT and Claude where supported by your client and account.

A question worth askingIllustrative example · Fictional data
“What objections increased this week?”

01 / Find a pattern

In this fictional example, cancellation-policy objections appear more often in the reviewed calls. Check call volume and data coverage before treating this as a wider trend.

“Show me the supporting calls.”

02 / Inspect a call

Example call A · Booking inquiry

Customer asks about flexibility before making a booking.

03 / Read the evidence

“I’m happy with the room rate. I need to know what happens if my dates change.”

Fictional customer transcript excerpt

A possible explanation to investigate: booking flexibility, rather than price. A call excerpt alone does not establish why a deal was lost.

Start with the business question

From customer concerns to your next coaching conversation.

Give your assistant access to the context already captured in CallOptix. Choose a question, then follow the evidence.

Calls & transcripts

What actually happened on this call?

Search by date, agent, sentiment, duration, and more. Retrieve the analysis and speaker-by-speaker transcript.

Objections & competitors

What is making customers hesitate?

Investigate recurring objections and competitor mentions, then read the language customers use.

Deals & revenue

What is happening in our pipeline?

Explore configured stages, deal values, linked calls, and recorded revenue by agent.

Team performance

Where does our team need attention?

Query dashboard analytics, agent scores, benchmarks, call volumes, and sentiment by conversation type.

Customer feedback

What are customers unhappy about?

Use conversation themes and transcripts to investigate service concerns, requests, and customer experiences.

Coaching

Which skills should we work on next?

Review saved coaching moments, AI suggestions, and outstanding assignments alongside call evidence.

Available results depend on recorded data, account permissions, and enabled features. Some deeper intelligence capabilities require an appropriate plan or add-on.

The context behind the conversation

Every call has a bigger story.

A transcript captures what was said. CallOptix connects that conversation to structured analysis, the agent, deal information, and coaching signals. Your assistant can explore those relationships and retrieve the transcript when it needs the exact words.

Ask about a pattern across calls, narrow the investigation, and check the evidence. Keep interpretations separate from what the records actually show.

Customer conversation
  • Agent & contact
  • Sentiment
  • Objections
  • Custom fields
  • Deal & stage
  • Revenue data
  • Coaching signals
  • Transcript evidence

Context comes from available analysis and linked workspace records.

How it works

Your calls. Your workspace. A new way to ask.

  1. 01

    Bring your calls into CallOptix

    Use your existing telephony connection or call ingestion API. CallOptix transcribes, analyzes, scores, and structures the conversation data.

  2. 02

    Connect a compatible assistant

    Add CallOptix MCP in an MCP-compatible client and authenticate your account. Connection options depend on your client and account.

  3. 03

    Ask, investigate, and check

    Ask a business question. Explore patterns, inspect relevant calls, and request transcript passages to check the answer.

A few things to know.

What would you ask your customer conversations?

See how CallOptix MCP can support your team’s questions. We’ll walk through the capabilities and your intended assistant setup.

Open CallOptix
Get ideas from the question guide
MCP for AI Assistants — Talk to Your Call Data | Call Optix