APIWeaver + Klavis AI: Complete MCP Integration

APIWeaver is a MCP server that An MCP server that dynamically creates MCP servers from web API configurations. This allows you to easily integrate any REST API, GraphQL endpoint, or web service into an MCP-compatible tool that can be used by AI assistants like Claude..

When integrated with Klavis AI, you can:

• Register and configure APIs at runtime without server restart
• Support for REST APIs, GraphQL endpoints, and web services
• Multiple authentication methods for different API requirements

This guide provides step-by-step instructions to set up APIWeaver in Klavis AI, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• APIWeaver will be fully integrated and operational
• You can use APIWeaver tools directly in Klavis AI
• All APIWeaver capabilities will be available for your workflows
• Access to 6 different tools

Prerequisites

Before starting, ensure you have:

• Klavis AI installed and configured
• Compatible operating system (Cloud (klavis.ai), Self-Hosted (Docker), Python SDK, TypeScript SDK)

Installation

Step 1: Install APIWeaver

Configuration

Step 2: Configure Klavis AI

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

Examples

Once configured, you can use APIWeaver in Klavis AI:

Register REST API with Authentication

Add a REST API with Bearer token authentication

Ask Klavis AI: "Register the JSONPlaceholder API (https://jsonplaceholder.typicode.com) with GET and POST methods"

Expected Result: API registered successfully with auto-generated tools for posts, users, and comments endpoints

GraphQL Endpoint Integration

Connect to a GraphQL API for data querying

Ask Klavis AI: "Register the GitHub GraphQL API with authentication and create tools for repository queries"

Expected Result: GraphQL endpoint configured with query tools for repositories, issues, and user data

API Testing and Validation

Test API connectivity before integration

Ask Klavis AI: "Test connection to the Stripe API with my API key before registering it"

Expected Result: Connection test successful with API schema validation and endpoint verification

Multi-API Workflow

Integrate multiple APIs for complex workflows

Ask Klavis AI: "Register both Twitter API and SendGrid API to create a workflow for social media monitoring and email alerts"

Expected Result: Both APIs registered with tools for tweet monitoring, email sending, and automated workflow execution

Testing Your Setup

1. Launch Klavis AI
2. Verify APIWeaver is available in the tools list
3. Test basic APIWeaver functionality

Troubleshooting

Common Issues

API Registration Failed

Symptoms: Registration errors, Invalid API configuration, Connection timeouts

Cause: Incorrect API URL, authentication issues, or network problems

Solution:

• Verify API endpoint URL is accessible
• Check authentication credentials are valid
• Test API manually with curl or Postman first
• Ensure network connectivity and firewall settings

Authentication Not Working

Symptoms: 401 Unauthorized, 403 Forbidden, Auth token invalid

Cause: Incorrect authentication method or invalid credentials

Solution:

• Verify authentication method matches API requirements
• Check API key/token is not expired
• Confirm header format and parameter names
• Test authentication with API documentation examples

Transport Mode Not Connecting

Symptoms: Connection refused, Transport errors, Client not recognizing server

Cause: Incorrect transport configuration or port conflicts

Solution:

• Use streamable-http for modern clients
• Check port is not in use: netstat -an | grep :8000
• Verify host/port settings match client configuration
• Try different transport modes (stdio/http/sse)

Python Dependencies Missing

Symptoms: Import errors, Module not found, Package installation failures

Cause: Missing Python packages or virtual environment issues

Solution:

• Install requirements: pip install -r requirements.txt
• Create virtual environment: python -m venv apiweaver-env
• Activate environment before installation
• Upgrade pip: python -m pip install --upgrade pip

API Schema Generation Failed

Symptoms: Tool generation errors, Schema parsing failures, Endpoint mapping issues

Cause: Unsupported API format or incomplete API documentation

Solution:

• Provide OpenAPI/Swagger specification if available
• Start with simple GET endpoints first
• Manually configure complex APIs step by step
• Check API documentation for required parameters

API Authentication Failed

Symptoms: 401 Unauthorized errors, Invalid API key message

Cause: Missing or incorrect API key

Solution:

• Verify API key is correctly copied from klavis.ai dashboard
• Check API key is set in environment variable or code
• Ensure API key has not expired
• Regenerate API key if necessary

OAuth Authorization Errors

Symptoms: OAuth redirect failures, Authentication loop, Token refresh errors

Cause: OAuth credentials not configured or expired

Solution:

• Complete OAuth authorization flow for required services
• Check redirect URLs are correctly configured
• Verify OAuth app credentials in service provider settings
• Contact Klavis support for OAuth troubleshooting

Tool Call Failures

Symptoms: Tool not found errors, Execution timeouts, Rate limit errors

Cause: Tool not properly configured or service rate limits exceeded

Solution:

• Verify tool name matches available tools list
• Check service-specific rate limits and quotas
• Ensure required parameters are provided correctly
• Review Klavis API logs for detailed error messages

Context Window Overload

Symptoms: Too many tools error, Context length exceeded, Slow responses

Cause: Too many tools exposed to AI agent at once

Solution:

• Use Strata Progressive Discovery to expose tools hierarchically
• Reduce number of simultaneous MCP servers in Strata configuration
• Filter tools based on current task context
• Enable intelligent tool filtering in Strata settings

Docker Deployment Issues

Symptoms: Container fails to start, Port conflicts, Connection refused

Cause: Docker configuration or port binding errors

Solution:

• Ensure Docker is installed and running
• Check port 5000 is not already in use (or change port mapping)
• Verify Docker image pulled successfully
• Check container logs: docker logs <container-id>

APIWeaver not appearing in Klavis AI

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check APIWeaver installation
• Restart Klavis AI
• Check logs for error messages

Next Steps

Now that APIWeaver is integrated with Klavis AI:

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

Need Help?

• Search for APIWeaver documentation
• Check the Klavis AI MCP guide
• Join the MCP community discussions