Alpaca + MCPOmni-Connect: Complete MCP Integration

Alpaca is a MCP server that Trading stocks and options, analyzing data, and building strategies using plain English through Alpaca's MCP server integration..

When integrated with MCPOmni-Connect, you can:

• Access Alpaca functionality through MCPOmni-Connect

This guide provides step-by-step instructions to set up Alpaca in MCPOmni-Connect, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• Alpaca will be fully integrated and operational
• You can use Alpaca tools directly in MCPOmni-Connect
• All Alpaca capabilities will be available for your workflows

Prerequisites

Before starting, ensure you have:

• MCPOmni-Connect installed and configured
• Compatible operating system (Python 3.9+, Windows, macOS, Linux, Docker)

Installation

Step 1: Install Alpaca

Configuration

Step 2: Configure MCPOmni-Connect

1. Open MCPOmni-Connect settings
2. Navigate to MCP server configuration
3. Add Alpaca server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use Alpaca in MCPOmni-Connect:

Testing Your Setup

1. Launch MCPOmni-Connect
2. Verify Alpaca is available in the tools list
3. Test basic Alpaca functionality

Troubleshooting

Common Issues

Command Not Found

Symptoms: mcpomni-connect: command not found, CLI not accessible

Cause: Package not installed or not in PATH

Solution:

• Verify installation: pip show mcpomni-connect
• Ensure Python scripts directory is in PATH
• Try running with python -m: python -m mcpomni_connect
• Reinstall: pip install --upgrade mcpomni-connect

Configuration File Not Found

Symptoms: FileNotFoundError: mcp_config.yaml, Config not loading

Cause: Config file missing or incorrect path

Solution:

• Verify config file exists at specified path
• Use absolute path: --config /full/path/to/mcp_config.yaml
• Check file name is exactly mcp_config.yaml (case-sensitive)
• Validate YAML syntax with yamllint or online validator

MCP Server Connection Failures

Symptoms: Server not responding, Connection timeout, Transport error

Cause: Invalid server configuration or transport issues

Solution:

• Verify transport type matches server capabilities (stdio, sse, http, docker, npx)
• For stdio: ensure command and args are correct
• For SSE/HTTP: verify URL is accessible and server is running
• For Docker: ensure Docker daemon is running and image exists
• Check environment variables are set (e.g., GITHUB_TOKEN)
• Test server manually outside MCPOmni-Connect

Agent Mode Not Working

Symptoms: Agent fails to execute task, Reasoning loop errors, Tool calls failing

Cause: Insufficient LLM configuration or tool access issues

Solution:

• Ensure LLM API key is configured (OpenAI, Anthropic, etc.)
• Verify agent has access to necessary MCP server tools
• Check task description is clear and actionable
• Review agent logs for detailed error messages
• Try simpler task first to verify agent functionality

Orchestrator Mode Failures

Symptoms: Plan execution fails, Step coordination errors, Agent communication issues

Cause: Invalid plan structure or agent dependencies

Solution:

• Verify plan steps are clearly defined and sequential
• Ensure each step can be completed with available tools
• Check inter-agent communication is working
• Review orchestrator logs for step-by-step execution details
• Test individual plan steps in agent mode first

Docker Transport Errors

Symptoms: Container not starting, Docker connection refused, Port binding errors

Cause: Docker configuration or runtime issues

Solution:

• Verify Docker is installed and running: docker ps
• Check Docker image exists: docker images
• Ensure ports are not already in use
• Review container logs: docker logs <container_name>
• Verify network configuration allows container communication

FastAPI Integration Issues

Symptoms: Import errors, Async execution failures, Endpoint not responding

Cause: Incorrect async configuration or FastAPI version mismatch

Solution:

• Use run_agent_async() for async FastAPI endpoints
• Ensure FastAPI version is compatible (0.100.0+)
• Verify MCPOmniClient is initialized outside request handlers
• Check async event loop configuration
• Review FastAPI logs for detailed error messages

Alpaca not appearing in MCPOmni-Connect

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Alpaca installation
• Restart MCPOmni-Connect
• Check logs for error messages

Next Steps

Now that Alpaca is integrated with MCPOmni-Connect:

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

Need Help?

• Search for Alpaca documentation
• Check the MCPOmni-Connect MCP guide
• Join the MCP community discussions