How to Use the Uniphore Conversation AI MCP in Windsurf

Q: Can Windsurf use Uniphore Conversation AI to find topics?

Yep. The MCP Server includes a listtopics tool. If you're trying to scope out what kind of conversations are happening across the company, running this tool gives you a list of all tracked keywords and topics immediately.

Q: If I use Uniphore Conversation AI with Windsurf, what kind of data can I retrieve?

You get everything: full transcripts (gettranscript), summaries (getmeetingsummary), and specific analytics. You don't have to switch between different services to piece together the picture.

See what's happening in your meetings. Windsurf gives you full context with Uniphore Conversation AI.

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Connect Uniphore Conversation AI MCP to Windsurf

Create your Vinkius account to connect Uniphore Conversation AI to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Uniphore Conversation AI with Windsurf

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Claude

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Analyze Meetings with the MCP Server

Windsurf uses the `list_meetings` tool to first discover all available meeting IDs. After finding what you need, Cascade can call `get_meeting` to pull specific details and then execute `search_meetings` to narrow down results by topic or keyword. This means your agent doesn't just read a transcript; it figures out which meetings match the criteria and retrieves their core data points.

Extract Action Items for Cascade

Need to know who owns what? Just set the goal. Windsurf’s autonomous agent automatically runs `get_action_items` on a meeting, pulling out key tasks and assigning ownership without you having to specify the exact API call. It’s designed so that if one tool fails or needs more context, Cascade adjusts its plan until it gets you the actionable list.

Get Full Conversation Insights

The system gives you three views of a single meeting. First, you can pull `get_transcript` for the raw text, which is great for deep review. Then, Cascade runs `get_meeting_summary` to get a high-level overview. Finally, it uses `get_meeting_analytics` to show specific insights and data about how the conversation actually went.

Setup guide

Set up Uniphore Conversation AI MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Uniphore Conversation AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Uniphore Conversation AI payment history." If connected, Cascade will call the Uniphore Conversation AI tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "uniphore-conversation-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Uniphore Conversation AI MCP in Windsurf

You tell your agent the final goal—like 'Create a report of all action items from Q3 meetings.' The MCP Server handles the sequence: it first runs `list_meetings` to get IDs, then iterates through them using `get_action_items`. You just set the high-level task.

Yep. The MCP Server includes a `list_topics` tool. If you're trying to scope out what kind of conversations are happening across the company, running this tool gives you a list of all tracked keywords and topics immediately.

This MCP Server touches meeting transcripts and action items. Because it's managed by Vinkius, access is controlled via an endpoint token, keeping the authentication separate from your core system.

You get everything: full transcripts (`get_transcript`), summaries (`get_meeting_summary`), and specific analytics. You don't have to switch between different services to piece together the picture.

The server handles communication data, specifically meeting transcripts, action items, and conversation analytics. The tools allow your agent to manage these different forms of recorded discussion.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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