How to Use the Uniphore Conversation AI MCP in VS Code Copilot

Q: How do I search for meetings using Uniphore Conversation AI in VS Code Copilot?

Use searchmeetings and provide the keyword or topic you want to track. The agent finds relevant meeting IDs, making it easy to pull specific details.

Q: Can I get a full transcript of a call using Uniphore Conversation AI in VS Code Copilot?

Yes, gettranscript pulls the entire raw text record for any given meeting ID. You can then process this data within your team's code base.

Q: How do I find all available meetings for Uniphore Conversation AI in VS Code Copilot?

Start by calling listmeetings. This provides the list of IDs you need to feed into other tools like getmeetingsummary or getmeetinganalytics.

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Connect Uniphore Conversation AI MCP to VS Code Copilot

Create your Vinkius account to connect Uniphore Conversation AI to VS Code Copilot 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 VS Code Copilot

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Extract tasks from team calls

The `get_action_items` tool pulls out all necessary action items discussed in a meeting. This data is immediately available to your whole engineering team through the committed MCP configuration. You can pair this with `list_meetings` to scope exactly which projects' calls you need to audit.

Get detailed conversation analytics

Use `get_meeting_analytics` when your team needs to measure communication success. The tool provides deep metrics on the discussion, letting you write code that verifies compliance or performance. This is critical for auditing and improving internal workflows across an organization.

Get meeting summaries by topic

The `search_meetings` tool lets your team find meetings by keyword or topic. Once you have the ID, `get_meeting_summary` pulls a concise synopsis of that specific discussion. This saves developers from having to read massive amounts of raw data just to understand context.

Setup guide

Set up Uniphore Conversation AI MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Uniphore Conversation AI MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Uniphore Conversation AI tools listed. Try asking: "List my recent Uniphore Conversation AI transactions" and Copilot will invoke them automatically.

.vscode/mcp.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 VS Code Copilot

Use `search_meetings` and provide the keyword or topic you want to track. The agent finds relevant meeting IDs, making it easy to pull specific details.

The MCP Server works with transcripts, summaries, action items, and analytics. All this structured conversation data is exposed via the committed `.vscode/mcp.json`.

Yes, `get_transcript` pulls the entire raw text record for any given meeting ID. You can then process this data within your team's code base.

No, it uses an enterprise-grade system. You simply commit the configuration to `.vscode/mcp.json` in your project root, and every developer gets access automatically.

Start by calling `list_meetings`. This provides the list of IDs you need to feed into other tools like `get_meeting_summary` or `get_meeting_analytics`.

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