Actor Critic Thinking + mcp-agent: Complete MCP Integration

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

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

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 mcp-agent

1. Open mcp-agent 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 mcp-agent:

Product Name Evaluation

Analyze effectiveness of noise-canceling headphone product name

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

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

Actor Critic Thinking not appearing in mcp-agent

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Actor Critic Thinking installation
• Restart mcp-agent
• Check logs for error messages

Next Steps

Now that Actor Critic Thinking is integrated with mcp-agent:

• Explore all Actor Critic Thinking 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 Actor Critic Thinking development

Need Help?

• Search for Actor Critic Thinking documentation
• Check the mcp-agent MCP guide
• Join the MCP community discussions