How to Use the Observe.AI MCP in Claude Code

Claude Code brings your contact center analytics into the terminal for high-speed automated auditing.

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Connect Observe.AI MCP to Claude Code

Create your Vinkius account to connect Observe.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.

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Setup Observe.AI with Claude Code

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Run QA audits from Claude Code

Integrate your audit pipeline into the CLI. Claude Code uses `list_qa_evaluations` to pull scores directly into your shell for quick analysis. If a score looks off, the tool immediately calls `get_evaluation_details`. You get the specifics without leaving your terminal session.

Analyze interaction moments in Claude Code

Search for specific behaviors across thousands of calls. Claude Code executes `list_interaction_moments` to find greetings, closings, or specific agent phrases. This is ideal for automated reporting. You can pipe the output from `list_interaction_summaries` into your existing scripts to monitor team performance.

Manage agents with Claude Code

Query your workspace state in real-time. Claude Code calls `list_workspace_users` to keep your local environment synced with your contact center roster. Need to check coaching history? The tool retrieves `list_coaching_sessions` to provide a history of performance feedback for any agent ID.

Setup guide

Set up Observe.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 observeai-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http observeai-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 Observe.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": {
    "observeai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Observe.AI MCP in Claude Code

Run the command with the server URL and transport flags. Once added, the tools are available for your scripts and terminal commands.

Absolutely. You can write shell scripts that chain these tools to pull daily interaction reports and save them as local files.

The server runs as a local process. Your API keys are managed by the environment, keeping them out of your code files.

No. The interaction happens directly between the CLI and the API. Your data is handled in memory and discarded after the task.

It accesses interaction transcripts, QA scorecards, coaching notes, and workspace user profiles.

Use it with your favorite AI tools

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

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