The Praiz MCP server gives your AI tools direct access to your conversation data — not just transcripts, but the structured intelligence your Praiz agents already extracted from every call.
“We use Praiz MCP across all our Dust agents. Whether we're asking for meeting prep, deal review, or an ROI deck, Praiz is the conversational data layer that shapes each asset based on what the buyer actually said."
Everything you need to know before connecting Praiz to your stack.
The Praiz MCP server connects your AI tools directly to your conversation data, giving access to structured insights — not just raw transcripts. Instead of reading calls manually, your AI can query actionable data extracted by Praiz AI agents.
MCP (Model Context Protocol) allows tools like ChatGPT or Claude to securely access your data sources in real time. With Praiz MCP, they can instantly retrieve insights from your conversations without copy-pasting or switching tools.
Most tools only provide transcripts or summaries. Praiz goes further by transforming conversations into structured data using AI agents, making insights searchable, comparable, and usable across your entire organization.
→ Learn more about AI-powered analysis on your Agents Library page
Your AI can access key signals like objections, feature requests, customer sentiment, competitor mentions, and next steps. These insights are automatically extracted and standardized from your calls.
→ See how insights are structured on the Praiz Insights page
Yes, Praiz MCP is compatible with ChatGPT, Claude, Notion AI, Gemini, Microsoft Copilot, and any MCP-ready AI tool. This ensures your conversation data is accessible wherever your team already works.
No, Praiz MCP is built for non-technical teams. You can connect your tools and start querying your conversation data without writing code or managing complex integrations.
Compatible with Claude, ChatGPT, Notion AI, Gemini, Microsoft Copilot, Dust — and any MCP-ready tool. If it supports the Model Context Protocol open standard, it connects to Praiz.
Transcripts, AI-generated summaries, structured agent outputs (MEDDIC scores, objection tags, coaching grades…), timeline chapters, participant data, and team usage stats. Your AI can query, filter and aggregate across all conversations — not just read raw text.
In your Praiz workspace, go to Settings → Integrations → MCP Server. Copy your personal MCP endpoint URL, then add it as a connected tool in Claude.ai or your ChatGPT workspace. No engineering required — it takes about 1 minute.
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