AntV Chart + MCPOmni-Connect: Complete MCP Integration

AntV Chart is a MCP server that A Model Context Protocol server for generating 15+ visual charts using AntV..

When integrated with MCPOmni-Connect, you can:

• Access AntV Chart functionality through MCPOmni-Connect

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

What You'll Achieve

After completing this setup:

• AntV Chart will be fully integrated and operational
• You can use AntV Chart tools directly in MCPOmni-Connect
• All AntV Chart 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 AntV Chart

Configuration

Step 2: Configure MCPOmni-Connect

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

Examples

Once configured, you can use AntV Chart in MCPOmni-Connect:

Testing Your Setup

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

AntV Chart not appearing in MCPOmni-Connect

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AntV Chart is integrated with MCPOmni-Connect:

• Explore all AntV Chart 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 AntV Chart development

Need Help?

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