Convov MCP: Your CRM and Calls Inside Claude and ChatGPT

Why sales teams use MCP instead of another chat app

Reps and managers already live in Claude.ai, ChatGPT, and other MCP-ready clients. Convov's Model Context Protocol server connects that workflow to the same structured data we write to Salesforce and HubSpot—deal stages, next steps, objections, competitors, and full meeting context.

You are not exporting CSVs or pasting transcripts. The assistant can reason over what Convov captured from Zoom, Teams, Google Meet, and Webex, attributed to the right accounts and contacts, so answers match how your team actually sells.

What you can do with Convov MCP

Once your CRM is connected and meetings are processed, your chosen model (OpenAI, Anthropic, or another MCP-compatible stack) can help with everyday revenue work grounded in data Convov maintains for you.

• Ask open-ended questions across recent calls: deals, drafts, pipeline trends, risk, momentum, and missing stakeholders
• Draft follow-up emails that reference objections, timelines, and agreed next steps
• Compare deals and spot patterns in talk tracks, pricing pushback, or competitor mentions
• Work in ChatGPT, Claude.ai, or any MCP-ready client—same synced meeting and CRM context
• Stay in one interface you trust instead of jumping between CRM tabs and generic AI chat

Tune field mapping and extraction instructions via MCP

Convov is not read-only: you can update custom field mappings and per-field extraction instructions through MCP so how we capture pipeline data stays aligned with how your team sells. When terminology, stages, or required fields change, refine instructions from the same assistant workflow instead of context-switching back to the dashboard for every tweak.

How it fits your stack: model billing and flexibility

Convov ships the MCP server and keeps CRM fields, activities, and transcripts aligned with your mappings. You connect your OpenAI or Anthropic account in the assistant you prefer, so usage limits and spend follow your existing provider relationship—typically on the order of twenty to one hundred dollars per month for many teams, on top of Convov's platform and meeting usage.

That separation keeps flexibility high: swap models or clients without re-implementing integrations, while Convov continues to automate CRM hygiene from every recorded sales conversation.

Trust, security, and getting started

CRM access uses the same OAuth patterns as the rest of Convov; meeting capture runs through our existing recording and transcription pipeline. MCP exposes the sales context your org already chose to sync—no shadow copies of your CRM for a separate AI product.

If you are evaluating agent-native sales intelligence, start with automated CRM updates from calls, then layer MCP on so leaders and reps can interrogate the same dataset from Claude or ChatGPT in seconds.