Azure Wiki Search + BeeAI Framework: Complete MCP Integration
Azure Wiki Search is a MCP server that An MCP server that enables AI to query and search Azure DevOps Wiki content with intelligent search capabilities..
When integrated with BeeAI Framework, you can:
- Search Azure DevOps Wiki content with AI-powered queries
- Retrieve specific wiki pages by path or identifier
This guide provides step-by-step instructions to set up Azure Wiki Search in BeeAI Framework, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- Azure Wiki Search will be fully integrated and operational
- You can use Azure Wiki Search tools directly in BeeAI Framework
- All Azure Wiki Search capabilities will be available for your workflows
- Access to 2 different tools
Prerequisites
Before starting, ensure you have:
- Azure DevOps organization name
- Azure DevOps project name
- BeeAI Framework installed and configured
- Compatible operating system (Node.js, Cross-platform)
Installation
Step 1: Install Azure Wiki Search
Configuration
Step 2: Configure BeeAI Framework
- Open BeeAI Framework settings
- Navigate to MCP server configuration
- Add Azure Wiki Search server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use Azure Wiki Search in BeeAI Framework:
Search Technical Documentation
Find relevant technical documentation in Azure Wiki
Ask BeeAI Framework: "Search for API authentication documentation in the Edge project"
Expected Result: Relevant wiki pages containing authentication setup and API documentation
Retrieve Specific Wiki Page
Get content from a known wiki page path
Ask BeeAI Framework: "Get the content from /docs/setup/installation.md"
Expected Result: Full content of the installation documentation page
Find Troubleshooting Guides
Search for problem-solving documentation
Ask BeeAI Framework: "Find troubleshooting guides for deployment issues"
Expected Result: Wiki pages containing deployment troubleshooting information
Testing Your Setup
- Launch BeeAI Framework
- Verify Azure Wiki Search is available in the tools list
- Test basic Azure Wiki Search functionality
Troubleshooting
Common Issues
Authentication Failed
Symptoms: Access denied to wiki, Unauthorized errors, PAT token rejected
Cause: Missing or invalid Azure DevOps Personal Access Token
Solution:
- Generate PAT in Azure DevOps with Wiki read permissions
- Set AZURE_DEVOPS_PAT environment variable
- Verify PAT has access to specified organization/project
- Check PAT expiration date
Organization/Project Not Found
Symptoms: Project not found errors, Organization does not exist
Cause: Invalid ORG or PROJECT configuration
Solution:
- Verify organization name matches Azure DevOps URL
- Confirm project exists and is accessible
- Check spelling and case sensitivity
- Use --org and --project parameters to override defaults
Wiki Content Not Found
Symptoms: No search results, Wiki path not found, Empty responses
Cause: Wiki not configured or content not available
Solution:
- Verify project has Wiki enabled
- Check wiki content exists in specified project
- Confirm search terms match available content
- Try broader search queries initially
uv Environment Issues
Symptoms: Command not found, Package installation fails, Virtual env errors
Cause: uv not installed or virtual environment not activated
Solution:
- Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
- Activate virtual environment before running
- Ensure Python 3.10+ is available
- Reinstall dependencies if corruption occurred
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
Azure Wiki Search not appearing in BeeAI Framework
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Azure Wiki Search installation
- Restart BeeAI Framework
- Check logs for error messages
Next Steps
Now that Azure Wiki Search is integrated with BeeAI Framework:
- Explore all Azure Wiki Search 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 Azure Wiki Search development
Need Help?
- Search for Azure Wiki Search documentation
- Check the BeeAI Framework MCP guide
- Join the MCP community discussions