Actor Critic Thinking + MCPOmni-Connect: Complete MCP Integration

Actor Critic Thinking is a MCP server that Actor-critic thinking for performance evaluation.

When integrated with MCPOmni-Connect, you can:

• Alternate between actor and critic viewpoints for comprehensive evaluation
• Structured multi-round analysis with progress tracking
• Multi-dimensional performance evaluation framework

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

What You'll Achieve

After completing this setup:

• Actor Critic Thinking will be fully integrated and operational
• You can use Actor Critic Thinking tools directly in MCPOmni-Connect
• All Actor Critic Thinking capabilities will be available for your workflows
• Access to 4 different tools

Prerequisites

Before starting, ensure you have:

• Node.js
• npm
• TypeScript support
• MCPOmni-Connect installed and configured
• Compatible operating system (Python 3.9+, Windows, macOS, Linux, Docker)

Installation

Step 1: Install Actor Critic Thinking

Install using npm:

npx -y mcp-server-actor-critic-thinking

Verify installation:

npx mcp-server-actor-critic-thinking --help

Configuration

Step 2: Configure MCPOmni-Connect

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

Examples

Once configured, you can use Actor Critic Thinking in MCPOmni-Connect:

Product Name Evaluation

Analyze effectiveness of noise-canceling headphone product name

Ask MCPOmni-Connect: "Evaluate the product name "SilentMax Pro" for noise-canceling headphones using actor-critic analysis"

Expected Result: Multi-round analysis alternating between creative appreciation and practical critique of the name

Marketing Campaign Assessment

Evaluate marketing campaign concept from multiple perspectives

Ask MCPOmni-Connect: "Analyze our "Digital Transformation Made Simple" campaign using 5 rounds of actor-critic evaluation"

Expected Result: Comprehensive evaluation covering creative impact, practical implementation, and market effectiveness

Feature Development Review

Assess new software feature proposal

Ask MCPOmni-Connect: "Use actor-critic thinking to evaluate the proposed "Smart Auto-Save" feature for our text editor"

Expected Result: Balanced analysis of feature benefits, technical challenges, and user experience implications

Business Strategy Evaluation

Analyze strategic business decision with structured feedback

Ask MCPOmni-Connect: "Apply actor-critic analysis to our plan for expanding into the European market"

Expected Result: Systematic evaluation of opportunities, risks, and implementation considerations

Testing Your Setup

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

Troubleshooting

Common Issues

Invalid Total Thoughts Parameter

Symptoms: Parameter validation errors, Odd number requirement failures

Cause: totalThoughts parameter must be odd number ≥3

Solution:

• Ensure totalThoughts is an odd number (3, 5, 7, etc.)
• Use minimum value of 3 for basic analysis
• Verify parameter is numeric, not string
• Check parameter validation in client configuration

Role Parameter Not Recognized

Symptoms: Invalid role errors, Perspective switching failures

Cause: Role parameter must be exactly "actor" or "critic"

Solution:

• Use exact values: "actor" or "critic"
• Check for typos or case sensitivity issues
• Ensure role alternates between rounds
• Verify role matches current thought number

Evaluation Sequence Broken

Symptoms: Out of sequence errors, Round tracking failures

Cause: thoughtNumber not matching expected sequence or round progression

Solution:

• Start thoughtNumber at 1 for first round
• Increment thoughtNumber for each subsequent round
• Ensure thoughtNumber ≤ totalThoughts
• Reset sequence for new evaluation sessions

TypeScript Compilation Errors

Symptoms: Build failures, Type definition errors

Cause: Missing TypeScript dependencies or configuration issues

Solution:

• Install TypeScript: npm install -g typescript
• Verify tsconfig.json configuration
• Install type definitions: npm install @types/node
• Clear build cache: npm run clean && npm run build

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

Actor Critic Thinking not appearing in MCPOmni-Connect

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Actor Critic Thinking installation
• Restart MCPOmni-Connect
• Check logs for error messages

Next Steps

Now that Actor Critic Thinking is integrated with MCPOmni-Connect:

• Explore all Actor Critic Thinking 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 Actor Critic Thinking development

Need Help?

• Search for Actor Critic Thinking documentation
• Check the MCPOmni-Connect MCP guide
• Join the MCP community discussions