Use Algolia MCP Server with gptme

Algolia is a MCP server that Use AI agents to provision, configure, and query your Algolia search indices..

When integrated with gptme, you can:

• Perform search queries on Algolia indices
• Add or update objects in an index
• Delete objects from an index

This guide provides step-by-step instructions to set up Algolia in gptme, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• Algolia will be fully integrated and operational
• You can use Algolia tools directly in gptme
• All Algolia capabilities will be available for your workflows
• Access to 5 different tools

Prerequisites

Before starting, ensure you have:

• Algolia application identifier
• Algolia Admin API key with full permissions
• Default index name for operations
• gptme installed and configured
• Compatible operating system (Terminal, Python, Cross-platform)

Installation

Step 1: Install Algolia

Configuration

Step 2: Configure gptme

1. Open gptme settings
2. Navigate to MCP server configuration
3. Add Algolia server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use Algolia in gptme:

E-commerce Search Management

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Ask gptme: "Add new products and configure search relevance"

Expected Result: undefined

Content Discovery Optimization

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Ask gptme: "Analyze search patterns and update searchable attributes"

Expected Result: undefined

Real-time Inventory Search

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Ask gptme: "Update product availability and remove out-of-stock items"

Expected Result: undefined

Testing Your Setup

1. Launch gptme
2. Verify Algolia is available in the tools list
3. Test basic Algolia functionality

Troubleshooting

Common Issues

Installation Failed

Symptoms: pip install errors, Missing dependencies

Cause: Python environment or package conflicts

Solution:

• Use virtual environment for clean installation
• Update pip to latest version
• Install with pipx for isolation
• Check Python version compatibility

API Key Issues

Symptoms: Authentication errors, Model access denied

Cause: Missing or invalid API keys

Solution:

• Verify API keys are set correctly
• Check API key permissions and quotas
• Test API keys with curl or other tools
• Review model provider documentation

MCP Server Not Loading

Symptoms: Server load errors, Tools not available

Cause: Server configuration or installation issues

Solution:

• Verify server installation and PATH
• Check MCP server configuration syntax
• Test server independently before gptme integration
• Review gptme logs for connection errors

Terminal Display Issues

Symptoms: Formatting problems, Character encoding errors

Cause: Terminal compatibility or encoding issues

Solution:

• Ensure terminal supports UTF-8 encoding
• Try different terminal applications
• Check terminal color and formatting settings
• Update terminal application to latest version

Algolia not appearing in gptme

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Algolia installation
• Restart gptme
• Check logs for error messages

Next Steps

Now that Algolia is integrated with gptme:

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

Need Help?

• Search for Algolia documentation
• Check the gptme MCP guide
• Join the MCP community discussions