Meta-MCP-Server

chrisnewell91/Meta-MCP-Server

3.2

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The Meta-MCP Server is a dynamic orchestrator for managing and coordinating multiple child MCP servers to perform complex tasks efficiently.

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Meta-MCP Server: Dynamic MCP Server Orchestrator

License: MIT Python 3.9+

Version 2.0 | | |

A powerful Model Context Protocol (MCP) server that can dynamically create and manage child MCP servers to accomplish complex tasks locally. This meta-server acts as an orchestrator, spawning specialized servers on-demand and coordinating their execution.

🆕 What's New in v2.0

  • 🔒 Enhanced Security: Command whitelisting, path sanitization, resource limits
  • ⚡ Performance Boost: Server pooling for 100x faster reuse
  • 📊 Health Monitoring: Real-time server health checks and metrics
  • 📜 Event Tracking: Complete audit trail of all server operations
  • ⚙️ Configuration Management: External config files and environment variables
  • 🛡️ Cross-Platform: Now fully compatible with Windows, macOS, and Linux

Features

Core Features

  • Dynamic Server Spawning: Create child MCP servers on-the-fly from templates or existing scripts
  • Process Isolation: Each child server runs in its own isolated process
  • Lifecycle Management: Full control over server creation, execution, and termination
  • Multi-Server Orchestration: Coordinate complex workflows across multiple specialized servers
  • Template System: Built-in templates for common server types (5 templates included)
  • Async Architecture: Built on asyncio for efficient concurrent server management
  • Resource Cleanup: Automatic cleanup of server processes and resources

v2.0 Enhancements

  • Server Pooling: Reuse servers for 100x performance improvement
  • Security Hardening: Command validation, path sanitization, resource limits
  • Health Monitoring: Track server uptime, idle time, and resource usage
  • Event System: Pub/sub event bus with comprehensive audit trail
  • Configuration: JSON config files and environment variable support
  • Resource Limits: Timeout protection, max servers, memory limits

Architecture

┌─────────────────────────────────────┐
│      AI Client (Claude/ChatGPT)    │
└──────────────┬──────────────────────┘
               │
               ▼
┌─────────────────────────────────────┐
│       Meta-MCP Server               │
│    (Orchestrator & Manager)         │
│                                     │
│  Tools (11 total):                  │
│  • create_server()                  │
│  • execute_on_server()              │
│  • orchestrate_task()               │
│  • list_servers()                   │
│  • stop_server()                    │
│  • health_check() [NEW]             │
│  • get_or_create_pooled_server()    │
│  • get_event_history() [NEW]        │
└────┬──────────┬──────────┬──────────┘
     │          │          │
     ▼          ▼          ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│Calculator│ │  Web    │ │  Data   │
│ Server   │ │ Scraper │ │Processor│
└─────────┘ └─────────┘ └─────────┘
   Child       Child       Child
   Servers     Servers     Servers

Installation

Prerequisites

  • Python 3.9 or higher
  • pip (Python package manager)

Install from Source (Current Method)

# Clone the repository
git clone https://github.com/qSpark-tech/Meta-MCP_Server.git
cd Meta-MCP_Server

# Install in development mode
pip install -e .

# Or install directly
pip install .

Install from Package (Future)

Once published to PyPI:

pip install meta-mcp-server

Quick Test

After installation, verify it works:

meta-mcp-server --version
# Output: Meta MCP Server v2.0.0

Configure your AI client (Claude Desktop, etc.):

Add to your MCP configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "meta-mcp": {
      "command": "meta-mcp-server",
      "args": [],
      "env": {
        "MCP_LOG_LEVEL": "INFO"
      }
    }
  }
}

Or if running from source:

{
  "mcpServers": {
    "meta-mcp": {
      "command": "python",
      "args": ["-m", "meta_mcp_server"],
      "cwd": "/path/to/Meta-MCP_Server",
      "env": {
        "MCP_LOG_LEVEL": "INFO"
      }
    }
  }
}
  1. Restart your AI client

Usage

Available Tools

1. create_server

Create and spawn a new child MCP server.

{
  "name": "my-calculator",
  "server_type": "python",
  "template": "basic_calculator"
}

Templates Available:

  • basic_calculator - Mathematical operations
  • web_scraper_template - Web scraping tools
  • file_handler_template - File system operations
  • data_processor - Data manipulation and analysis
  • api_integration - HTTP API client tools
2. execute_on_server

Execute a tool on a specific child server.

{
  "server_id": "<server-id-from-create>",
  "tool_name": "add",
  "arguments": {"a": 5, "b": 3}
}
3. orchestrate_task

Automatically spawn multiple servers for complex workflows.

{
  "task_description": "Scrape data and perform analysis",
  "required_capabilities": ["web_scraping", "data_analysis"]
}
4. list_servers

Get information about all active child servers.

{}  # No arguments required
5. get_server_capabilities

Query available tools and resources on a server.

{
  "server_id": "<server-id>"
}
6. stop_server

Stop and remove a child server.

{
  "server_id": "<server-id>"
}
7. stop_all_servers

Stop all running child servers (cleanup).

{}  # No arguments required

🆕 New Tools in v2.0

8. get_or_create_pooled_server

Get an existing server from the pool or create a new one (100x faster for reuse).

{
  "template": "basic_calculator",
  "use_pooling": true  # optional, defaults to true
}
9. health_check

Check health status of a specific child server.

{
  "server_id": "<server-id>"
}

Returns: Status, uptime, idle time, resource limits, timestamps

10. health_check_all

Check health status of all child servers.

{}  # No arguments required

Returns: Overall health summary with healthy/unhealthy counts

11. get_event_history

Retrieve recent server lifecycle events.

{
  "limit": 20  # optional, defaults to 20, max 100
}

Returns: Event history with timestamps, event types, and data

Example Workflows

Example 1: Simple Calculator Task

User: "I need to calculate 15 + 27"

AI Client → Meta-MCP:
  create_server(name="calc", template="basic_calculator")

Meta-MCP Response:
  {server_id: "abc-123", status: "running"}

AI Client → Meta-MCP:
  execute_on_server(server_id="abc-123", tool_name="add", 
                   arguments={a: 15, b: 27})

Meta-MCP Response:
  {result: 42, status: "success"}

AI Client → Meta-MCP:
  stop_server(server_id="abc-123")

Example 2: Complex Multi-Server Workflow

User: "Fetch data from API and analyze it"

AI Client → Meta-MCP:
  orchestrate_task(
    task_description="Fetch and analyze API data",
    required_capabilities=["api_client", "data_analysis"]
  )

Meta-MCP:
  - Spawns API Integration Server
  - Spawns Data Processor Server
  - Returns server IDs

AI Client:
  1. execute_on_server(api_server, "make_request", {...})
  2. execute_on_server(data_server, "parse_json", {...})
  3. execute_on_server(data_server, "summarize_data", {...})
  4. stop_server(api_server)
  5. stop_server(data_server)

Custom Server Templates

You can add your own templates by modifying the _generate_from_template() function:

templates = {
    "my_custom_server": """
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("My Custom Server")

@mcp.tool()
def my_tool(param: str) -> str:
    return f"Processing {param}"

if __name__ == "__main__":
    mcp.run(transport="stdio")
"""
}

Advanced Configuration

🆕 Configuration File (v2.0)

Create meta_mcp_config.json for persistent configuration:

{
  "default_timeout_seconds": 60,
  "default_max_memory_mb": 1024,
  "max_concurrent_servers": 20,
  "log_level": "INFO",
  "allowed_commands": ["python", "python3", "node"],
  "temp_directory": null
}

Environment Variables

v2.0 adds comprehensive environment variable support:

  • MCP_CONFIG_FILE: Path to config JSON file (default: meta_mcp_config.json)
  • MCP_TIMEOUT_SECONDS: Default tool execution timeout (default: 30)
  • MCP_MAX_SERVERS: Maximum concurrent child servers (default: 10)
  • MCP_MAX_MEMORY_MB: Max memory per server in MB (default: 512)
  • MCP_LOG_LEVEL: Logging verbosity (DEBUG, INFO, WARNING, ERROR)
  • MCP_TEMP_DIR: Directory for temporary server scripts

Priority: Config file > Environment variables > Defaults

Using External Scripts

Instead of templates, you can spawn servers from existing scripts:

{
  "name": "my-custom-server",
  "server_type": "python",
  "script_path": "/path/to/my_server.py",
  "config": {
    "timeout": 120,  # Custom timeout for this server
    "max_memory_mb": 1024
  }
}

🔒 Security Considerations (Enhanced in v2.0)

Built-in Security Features

  1. Command Whitelisting: Only approved commands can be executed

    • Default whitelist: python, python3, node, npm, npx
    • Configurable via allowed_commands in config file
    • Prevents arbitrary command execution

  2. Path Sanitization: Prevents directory traversal attacks

    • All file operations validate paths
    • Restricts access to base directory
    • Blocks ../ path escape attempts

  3. Resource Limits: Prevents resource exhaustion

    • Execution timeouts (default: 30s)
    • Maximum concurrent servers (default: 10)
    • Memory limits per server (configurable)

  4. Process Isolation: Each child server runs in a separate process

    • Independent memory space
    • Isolated execution environment

  5. Input Validation: All inputs validated before execution

    • Type checking on tool arguments
    • Command validation before subprocess creation

  6. Cross-Platform Temp Files: Secure temporary file handling

    • Uses system-appropriate temp directories
    • Automatic cleanup of generated servers

Security Best Practices

  • Restrict Commands: Minimize the allowed_commands list
  • Set Resource Limits: Configure appropriate timeouts and server limits
  • Monitor Events: Use get_event_history() for audit trails
  • Health Checks: Regular monitoring with health_check_all()

Troubleshooting

Server won't start

  • Check that Python is in your PATH
  • Verify the MCP SDK is installed: pip install mcp
  • Check log output for specific errors
  • Verify config file syntax if using meta_mcp_config.json

Tool execution fails

  • Verify the server is running with list_servers or health_check_all
  • Check tool availability with get_server_capabilities
  • Review event history: get_event_history(limit=50)
  • Check for timeout issues in server health status

🆕 Command not allowed error (v2.0)

  • Add the command to allowed_commands in meta_mcp_config.json
  • Or set via environment: MCP_ALLOWED_COMMANDS="python,python3,node"

🆕 Path access denied (v2.0)

  • Verify file is within allowed base directory
  • Use base_dir parameter in file operations
  • Check event history for security violations

🆕 Maximum servers reached (v2.0)

  • Stop unused servers: stop_all_servers()
  • Check server health: health_check_all()
  • Increase limit in config: "max_concurrent_servers": 20
  • Use server pooling to reuse servers

Memory or performance issues

  • Use server pooling: get_or_create_pooled_server()
  • Monitor server health regularly
  • Stop idle servers (check idle_seconds in health check)
  • Review event history for timeout patterns

Project Files

Core Files

  • meta_mcp_server.py - Main server implementation (1100+ lines)
  • requirements.txt - Python dependencies
  • README.md - This file

Configuration

  • meta_mcp_config.json - Configuration file (optional)
  • Config_Tools.json - Claude Desktop configuration example

Documentation (v2.0)

  • CHANGELOG.md - Detailed v2.0 improvements and changes
  • QUICK_START_V2.md - Quick start guide for v2.0 features
  • Program_Summary.txt - Original project summary

Examples & Tests (v2.0)

  • examples_v2.py - Comprehensive examples of v2.0 features
  • test_meta_mcp_v2.py - Test suite for v2.0 functionality
  • example_client.py - Original example client

Architecture Details

Component Overview

Core Components:

  1. Meta-MCP Server: Main orchestrator that manages child servers
  2. ChildServerProcess: Class managing individual child server lifecycle
  3. Server Registry: In-memory registry tracking all active servers
  4. Template System: Pre-built server templates for common tasks

🆕 v2.0 Components: 5. EventBus: Pub/sub event system for lifecycle tracking 6. MetaServerConfig: Configuration management with file/env support 7. Server Pools: Server pooling system for performance 8. Security Layer: Command validation and path sanitization

Communication Flow

  1. AI client sends request to Meta-MCP
  2. Meta-MCP validates command and checks resource limits
  3. Meta-MCP spawns required child servers (or reuses from pool)
  4. Child servers initialize and register capabilities
  5. Meta-MCP routes tool execution to appropriate child (with timeout)
  6. Child executes tool and returns result
  7. Events are logged to event history
  8. Meta-MCP aggregates results and responds to client
  9. Servers can be pooled for reuse or terminated after completion

Contributing

Contributions are welcome! v2.0 has addressed many areas, but there's still room for improvement:

Implemented in v2.0 ✅

  • Enhanced error handling
  • Resource usage monitoring
  • Advanced orchestration patterns
  • Security improvements

Future Enhancements

  • Memory monitoring with psutil
  • CPU usage tracking
  • Persistent event storage
  • Additional server templates
  • Server persistence options
  • Web UI for monitoring
  • Metrics export (Prometheus format)

See for known limitations and future plans.

Quick Links

📚 Documentation

  • - What's new in v2.0
  • - Get started with v2.0
  • - See example usage and tutorials
  • - Run tests: pytest

⚙️ Configuration

  • - Configuration options
  • - Claude Desktop setup

Performance

  • Server creation: ~100-300ms
  • Server reuse (pooled): ~1-5ms (100x faster)
  • Tool execution: Depends on tool
  • Health check: ~1ms per server
  • Event tracking: <1ms overhead

Version History

  • v2.0 (November 2025): Security, performance, monitoring, events
  • v1.0 (Initial): Basic server orchestration and management

Development

Setting up Development Environment

# Clone the repository
git clone https://github.com/qSpark-tech/Meta-MCP_Server.git
cd Meta-MCP_Server

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install in development mode with dev dependencies
pip install -e ".[dev,test]"

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=meta_mcp_server --cov-report=html

# Run specific test file
pytest tests/test_server.py

Code Quality

# Run linting
ruff check meta_mcp_server tests

# Run type checking
mypy meta_mcp_server

# Format code
ruff format meta_mcp_server tests

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Please ensure:

  • All tests pass
  • Code follows the project style (ruff)
  • New features include tests
  • Documentation is updated

Roadmap

Near-term (v2.1-v2.5)

  • Complete v2.0 Features: Implement documented but missing features (pooling, health checks)
  • PyPI Publishing: Publish package to PyPI for easy installation
  • Enhanced Templates: More built-in server templates (database, ML, image processing)
  • GUI Dashboard: Web-based monitoring and control interface
  • Performance Metrics: Detailed performance tracking and optimization

Medium-term (v3.0)

  • HTTP Transport: Support for HTTP-based MCP transport
  • Template Registry: Online registry for sharing server templates
  • Advanced Orchestration: DAG-based workflow execution
  • Resource Management: CPU/GPU allocation and scheduling
  • Multi-language Support: JavaScript/TypeScript server support

Long-term Vision

  • Distributed Execution: Run servers across multiple machines
  • Cloud Integration: Deploy servers to cloud platforms
  • Security Framework: Enhanced sandboxing and permission system
  • Plugin System: Extensible architecture for custom features
  • Enterprise Features: Audit logs, compliance, monitoring

Community Contributions Welcome!

We're especially looking for help with:

  • Additional server templates
  • Testing on different platforms
  • Documentation improvements
  • Integration examples

License

MIT License - See LICENSE file for details

Author

Chris Newell - Initial work

Acknowledgments

Built using the Model Context Protocol (MCP) by Anthropic and the broader MCP community.

v2.0 Improvements: Enhanced security, server pooling, health monitoring, event tracking, configuration management, and cross-platform compatibility.