Vectorize + BeeAI Framework: Complete MCP Integration

Vectorize is a MCP server that Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking..

When integrated with BeeAI Framework, you can:

• Access Vectorize functionality through BeeAI Framework

This guide provides step-by-step instructions to set up Vectorize in BeeAI Framework, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• Vectorize will be fully integrated and operational
• You can use Vectorize tools directly in BeeAI Framework
• All Vectorize capabilities will be available for your workflows

Prerequisites

Before starting, ensure you have:

• BeeAI Framework installed and configured
• Compatible operating system (Node.js, Cross-platform)

Installation

Step 1: Install Vectorize

Configuration

Step 2: Configure BeeAI Framework

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

Examples

Once configured, you can use Vectorize in BeeAI Framework:

Testing Your Setup

1. Launch BeeAI Framework
2. Verify Vectorize is available in the tools list
3. Test basic Vectorize functionality

Troubleshooting

Common Issues

Framework Installation Fails

Symptoms: npm install errors, Dependency conflicts

Cause: Node.js version or dependency issues

Solution:

• Verify Node.js version compatibility
• Clear npm cache and node_modules
• Use npm ci for clean installation
• Check for conflicting global packages

Configuration Not Loaded

Symptoms: Config file ignored, Default settings used

Cause: Configuration file syntax or location issues

Solution:

• Verify beeai.config.js syntax is correct
• Check configuration file location in project root
• Use absolute paths for server executables
• Validate JSON/JavaScript configuration format

Workflow Execution Fails

Symptoms: Workflow errors, MCP tools not available

Cause: MCP server connection or tool execution issues

Solution:

• Check MCP server installation and PATH
• Verify server is responding to connections
• Test server independently before framework integration
• Review workflow logs for specific error messages

Vectorize not appearing in BeeAI Framework

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Vectorize installation
• Restart BeeAI Framework
• Check logs for error messages

Next Steps

Now that Vectorize is integrated with BeeAI Framework:

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

Need Help?

• Search for Vectorize documentation
• Check the BeeAI Framework MCP guide
• Join the MCP community discussions