How to Use the Uniphore Conversation AI MCP in Claude Code

Q: How do I use Uniphore Conversation AI with Claude Code for back-end testing?

Your workflow is simple: write a script that calls getmeetinganalytics and pipes the JSON output to your test framework. The MCP Server handles fetching all necessary metrics, allowing you to validate endpoints without manual intervention.

Q: Can Claude Code use Uniphore Conversation AI for topic discovery?

Absolutely. Run listtopics in a GitHub Action job. This pulls the entire catalog of tracked keywords, letting your system automatically update its internal list of monitored subjects.

Connect Uniphore Conversation AI to your CI/CD pipelines using Claude Code's headless terminal access.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Uniphore Conversation AI MCP to Claude Code

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

GDPR Free for Subscribers

Setup Uniphore Conversation AI with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run Scheduled Meeting Searches with MCP Server

For cron jobs or scheduled builds, the `search_meetings` tool lets you run a targeted query against all recordings. You set up the job to check for meetings containing specific keywords over time. This is perfect for automated compliance checks where you need proof of certain discussions occurring.

Automate Action Item Collection

You can write a shell script that iterates through recorded calls. For each ID, the Claude Code agent executes `get_action_items`, piping the resulting tasks into a CSV file for review. This capability makes MCP Servers essential for automated operational reporting.

Build Pipelines with Meeting Transcripts

The `get_transcript` tool provides raw text output, which is exactly what you need to pipe into a natural language processing (NLP) utility. This allows your CI/CD pipeline to analyze conversation flow automatically. You can't build robust automation without getting the full, unedited source material.

Setup guide

Set up Uniphore Conversation AI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see uniphore-conversation-ai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Uniphore Conversation AI transactions." It will automatically discover and invoke the available Uniphore Conversation AI tools.

Terminal

claude mcp add --transport http uniphore-conversation-ai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uniphore. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Uniphore Conversation AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Uniphore Conversation AI MCP in Claude Code

Your workflow is simple: write a script that calls `get_meeting_analytics` and pipes the JSON output to your test framework. The MCP Server handles fetching all necessary metrics, allowing you to validate endpoints without manual intervention.

Absolutely. Run `list_topics` in a GitHub Action job. This pulls the entire catalog of tracked keywords, letting your system automatically update its internal list of monitored subjects.

The MCP Server touches communication messaging records like summaries and transcripts. When running headless in a container or SSH session, you maintain complete control over the environment's security perimeter.

You get reliable, structured communication data. This includes meeting summaries (`get_meeting_summary`), analytics, and the full raw transcripts—all available for piping into other tools.

This server manages communication messaging content. The core types are meeting transcripts, derived action items, and comprehensive conversation analytics. You treat these as standard inputs for your shell scripts.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript