🎭 TanukiMCP Maestro: AI Orchestration Server

An MCP server that provides intelligent orchestration and session management for Large Language Models.

Overview

TanukiMCP Maestro is an MCP (Model Context Protocol) server deployed on Smithery.ai that enables Large Language Models to manage complex multi-step workflows through structured sessions, task decomposition, and capability management.

Key Capabilities

• 🎼 Session-Based Orchestration: Intelligent task management with session persistence
• 🧠 Intelligence Amplification: Specialized reasoning engines for computational tasks
• 🌐 Web Research: Real-time search for up-to-date information
• 💻 Code Execution: Secure Python, JavaScript, and Bash execution
• 🔧 Error Handling: Structured error analysis and recovery

Available Tools

1. maestro_orchestrate

Provides intelligent session management for complex multi-step tasks with capabilities including:

• Creating and managing task sessions
• Declaring available tools and resources
• Task tracking and validation
• Advanced workflow management
• Knowledge management and retrieval

# Example: Creating a session and adding a task
result = await maestro_orchestrate(
    action="create_session", 
    session_name="Data Analysis Project"
)

result = await maestro_orchestrate(
    action="add_task",
    task_description="Analyze customer transaction data"
)

2. maestro_iae

The Intelligence Amplification Engine (IAE) provides access to specialized reasoning engines:

• Mathematics for computational tasks
• Data analysis for statistical operations
• Code quality assessment
• Language analysis

# Example: Solving an equation
result = await maestro_iae(
    engine_name="mathematics",
    method_name="solve_equation",
    parameters={"equation": "x^2 + 5x + 6 = 0"}
)

3. maestro_web

Enables real-time web search for up-to-date information:

# Example: Searching for current information
result = await maestro_web(
    operation="search",
    query_or_url="latest advances in quantum computing 2024",
    num_results=10
)

4. maestro_execute

Provides secure code execution in Python, JavaScript, and Bash:

# Example: Executing Python code
result = await maestro_execute(
    code="""
import math
result = sum(math.sqrt(i) for i in range(1, 10))
print(f"Sum of square roots from 1 to 9: {result:.2f}")
""",
    language="python",
    timeout=30
)

5. maestro_error_handler

Provides structured error analysis and recovery suggestions:

# Example: Analyzing an error
result = await maestro_error_handler(
    error_message="ModuleNotFoundError: No module named 'pandas'",
    context={
        "tool": "maestro_execute",
        "language": "python",
        "code_snippet": "import pandas as pd"
    }
)

Using Maestro on Smithery.ai

Access

TanukiMCP Maestro is available as a managed service on Smithery.ai. To use it:

1. Connect via Smithery: Add TanukiMCP Maestro from the Smithery marketplace to your MCP environment
2. Use with MCP clients: The server is compatible with any MCP-compliant client

Configuration

The server is configured through Smithery.ai’s deployment settings:

# Example configuration (simplified)
server:
  workers: 4
  timeout: 30
security:
  rate_limit_enabled: true
  rate_limit_requests: 100
engine:
  mode: "production"
  task_timeout: 300

Technical Specifications

• Protocol: MCP 2024-11-05
• Deployment: Container-based on Smithery.ai
• Scaling: 1-10 instances with CPU-based autoscaling
• Resources: 512Mi memory, 0.5 CPU per instance
• Tool Discovery: <100ms response time

Security Features

• Sandboxed Execution: Isolated code execution environments
• Timeout Controls: Configurable timeouts for all operations
• Rate Limiting: Configurable API rate limiting
• Input Validation: Comprehensive parameter validation

Documentation

Comprehensive documentation is available in the docs/ directory:

• Architecture: System architecture and design patterns
• Components: Detailed component descriptions
• Functionality: Tool functionality and usage
• Tools: Detailed tool reference

License

This project is licensed under a Non-Commercial License. Commercial use requires approval from TanukiMCP.

Contact

For commercial licensing inquiries, contact tanukimcp@gmail.com.

Enhance your LLM capabilities with TanukiMCP Maestro on Smithery.ai

Ready to amplify your intelligence? Get started on Smithery.ai today.