How do I get my Uniphore Access Token and Org ID?

Log in to your Uniphore account, navigate to Settings > API Access, and generate a new token. Your Organization ID is displayed in the same settings panel.

Can I get AI-generated summaries of meetings?

Yes! Use the get_meeting_summary tool with a meeting ID to retrieve the concise AI summary of that call.

Can I extract action items from a call?

Yes! Use the get_action_items tool with a meeting ID. Uniphore AI identifies next steps and assigns them to speakers if possible.

Can I search for specific topics in past meetings?

Yes! Use the search_meetings tool with relevant keywords or topic names to find matching recorded calls.

Uniphore Conversation AI MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes

Name: Uniphore Conversation AI
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

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Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Uniphore Conversation AI and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

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IAMAccess control

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DLPData protection

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Uniphore Conversation AI MCP Server

Connect Uniphore to any AI agent and unlock powerful conversation intelligence -- retrieve meeting transcripts, AI-generated summaries, action items, and analytics through natural conversation.

GitHub Copilot Agent mode brings Uniphore Conversation AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Meeting Transcripts -- Get speaker-tagged transcripts of any recorded call or meeting
AI Summaries -- Retrieve concise summaries of key discussion points
Action Items -- Extract next steps and tasks identified during meetings
Conversation Analytics -- View talk ratios, sentiment, topics, and engagement metrics
Search Meetings -- Find past meetings by keyword or topic discussed

The Uniphore Conversation AI MCP Server exposes 8 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Uniphore Conversation AI to VS Code Copilot via MCP

Follow these steps to integrate the Uniphore Conversation AI MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Uniphore Conversation AI

Ask Copilot: "Using Uniphore Conversation AI, help me..." — 8 tools available

Why Use VS Code Copilot with the Uniphore Conversation AI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Uniphore Conversation AI through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Uniphore Conversation AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Uniphore Conversation AI MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Uniphore Conversation AI MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect Uniphore Conversation AI to VS Code Copilot via MCP:

get_action_items

Get action items extracted from a meeting

get_meeting

Get details of a specific meeting

get_meeting_analytics

Get conversation analytics and insights for a meeting

get_meeting_summary

Get the AI-generated summary of a meeting

get_transcript

Get the full transcript of a meeting

list_meetings

Use this to discover meeting IDs before querying specific details. List all recorded meetings and calls

list_topics

List all tracked topics and keywords in the organization

search_meetings

Search meetings by keyword or topic

Example Prompts for Uniphore Conversation AI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Uniphore Conversation AI immediately.

"Show me the summary for meeting MTG-123."

"Get the transcript for meeting MTG-456."

"What are the action items from the last sales call?"

Troubleshooting Uniphore Conversation AI MCP Server with VS Code Copilot

Common issues when connecting Uniphore Conversation AI to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Uniphore Conversation AI + VS Code Copilot FAQ

Common questions about integrating Uniphore Conversation AI MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.