Apache Pinot + Theia AI: Complete MCP Integration

Apache Pinot is a MCP server that MCP server for Apache Pinot real-time analytics database with SQL query capabilities and metadata access.

When integrated with Theia AI, you can:

• List and inspect Apache Pinot tables
• View and analyze table segments
• Retrieve and analyze table schemas

This guide provides step-by-step instructions to set up Apache Pinot in Theia AI, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• Apache Pinot will be fully integrated and operational
• You can use Apache Pinot tools directly in Theia AI
• All Apache Pinot capabilities will be available for your workflows
• Access to 5 different tools

Prerequisites

Before starting, ensure you have:

• Apache Pinot broker hostname
• Apache Pinot broker port
• Theia AI installed and configured
• Compatible operating system (Theia IDE, Custom Apps)

Installation

Step 1: Install Apache Pinot

Configuration

Step 2: Configure Theia AI

1. Open Theia AI settings
2. Navigate to MCP server configuration
3. Add Apache Pinot server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use Apache Pinot in Theia AI:

List All Tables

Get overview of available Pinot tables

Ask Theia AI: "Show me all the tables available in the Pinot cluster"

Expected Result: List of table names with basic metadata and schema information

Execute Analytics Query

Run SQL query for real-time analytics

Ask Theia AI: "SELECT COUNT(*) FROM events WHERE timestamp > now() - 3600000"

Expected Result: Query results showing event count for last hour

Analyze Table Structure

Get detailed schema information for a table

Ask Theia AI: "Show me the schema and structure of the user_events table"

Expected Result: Table schema with column names, types, and index information

Generate Data Visualization

Create histogram plots from query results

Ask Theia AI: "Create a histogram showing user activity distribution by hour"

Expected Result: Histogram visualization with data aggregated by time buckets

Testing Your Setup

1. Launch Theia AI
2. Verify Apache Pinot is available in the tools list
3. Test basic Apache Pinot functionality

Troubleshooting

Common Issues

uv Command Not Found

Symptoms: Command not found error, uv: command not found

Cause: uv package manager not installed

Solution:

• Install uv using: curl -LsSf https://astral.sh/uv/install.sh | sh
• Restart terminal or source shell configuration
• Verify installation with: uv --version

Pinot Connection Failed

Symptoms: Connection refused, Broker unreachable, Network timeout

Cause: Invalid Pinot broker configuration or cluster not running

Solution:

• Verify PINOT_BROKER_HOST and PINOT_BROKER_PORT in .env file
• Check Pinot cluster is running and accessible
• Test connection: telnet <broker_host> <broker_port>
• Ensure firewall allows connections to Pinot broker

Environment Variables Not Loaded

Symptoms: Config missing errors, Default values being used

Cause: .env file not found or incorrectly formatted

Solution:

• Create .env file in repository root directory
• Copy from .env.example and modify values
• Ensure no spaces around = in variable assignments
• Restart MCP server after configuration changes

Claude Desktop Not Recognizing Server

Symptoms: Server not appearing, Connection errors in Claude

Cause: Incorrect claude_desktop_config.json configuration

Solution:

• Verify path to uv binary in command field
• Ensure correct path to mcp-pinot repository
• Restart Claude Desktop after configuration changes
• Check Claude Desktop logs for error messages

Server Launch Failed

Symptoms: AI cannot access external context

Cause: Command not found in PATH

Solution:

• Ensure tools like uvx, npm, or python are in the environment PATH where Theia is launched

Apache Pinot not appearing in Theia AI

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Apache Pinot installation
• Restart Theia AI
• Check logs for error messages

Next Steps

Now that Apache Pinot is integrated with Theia AI:

• Explore all Apache Pinot capabilities through Theia AI
• Check out other MCP servers that work with Theia AI
• Join the MCP community for tips and support
• Consider contributing to Apache Pinot development

Need Help?

• Search for Apache Pinot documentation
• Check the Theia AI MCP guide
• Join the MCP community discussions