APIWeaver + mcp-agent: 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 mcp-agent, 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 mcp-agent, 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 mcp-agent
• All APIWeaver capabilities will be available for your workflows
• Access to 6 different tools

Prerequisites

Before starting, ensure you have:

• mcp-agent installed and configured
• Compatible operating system (Python 3.9+, pip Installation, uv Installation, Temporal (Optional))

Installation

Step 1: Install APIWeaver

Configuration

Step 2: Configure mcp-agent

1. Open mcp-agent 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 mcp-agent:

Register REST API with Authentication

Add a REST API with Bearer token authentication

Ask mcp-agent: "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 mcp-agent: "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 mcp-agent: "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 mcp-agent: "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 mcp-agent
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

Import Error - Module Not Found

Symptoms: ModuleNotFoundError: No module named mcp_agent, Import fails

Cause: mcp-agent not installed or wrong Python environment

Solution:

• Verify installation: pip show mcp-agent
• Ensure using correct Python environment/virtualenv
• Reinstall: pip install --upgrade mcp-agent
• Check Python version is 3.9 or higher

MCP Server Connection Failures

Symptoms: Server not starting, Connection timeout, Tool execution errors

Cause: Invalid MCP server configuration or missing dependencies

Solution:

• Verify npx is installed and accessible (required for stdio servers)
• Check MCP server package name and arguments are correct
• Test server independently: npx -y @modelcontextprotocol/server-filesystem /path
• Review agent logs for detailed error messages
• Ensure required environment variables are set

LLM API Authentication Errors

Symptoms: 401 Unauthorized, API key invalid, Provider authentication failed

Cause: Missing or incorrect API keys for LLM provider

Solution:

• Set environment variables: ANTHROPIC_API_KEY, OPENAI_API_KEY, etc.
• Verify API key is valid and has correct permissions
• Check API key format matches provider requirements
• Pass api_key parameter explicitly in Agent initialization

Workflow Execution Failures

Symptoms: Workflow hangs, Timeout errors, Incomplete results

Cause: Workflow pattern misconfiguration or task complexity

Solution:

• Increase timeout values for long-running tasks
• Break complex workflows into smaller steps
• Verify all workflow dependencies are available
• Check Temporal backend is running (for production deployments)
• Review workflow logs for specific error messages

Temporal Backend Connection Issues

Symptoms: Cannot connect to Temporal, Workflow registration fails, Worker errors

Cause: Temporal server not running or misconfigured

Solution:

• Verify Temporal server is running: temporal server health
• Check Temporal connection settings (host, port, namespace)
• Ensure Temporal workers are registered correctly
• Review Temporal server logs for connection errors
• Start local Temporal dev server: temporal server start-dev

Performance Issues with Large Workflows

Symptoms: Slow execution, High memory usage, Timeout errors

Cause: Inefficient workflow design or resource constraints

Solution:

• Use map-reduce pattern for parallelizable tasks
• Implement batching for large data processing
• Enable Temporal backend for better resource management
• Monitor agent memory usage and optimize task size
• Consider streaming responses for large outputs

APIWeaver not appearing in mcp-agent

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check APIWeaver installation
• Restart mcp-agent
• Check logs for error messages

Next Steps

Now that APIWeaver is integrated with mcp-agent:

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

Need Help?

• Search for APIWeaver documentation
• Check the mcp-agent MCP guide
• Join the MCP community discussions