MCP Observability SDK for Python

Open, vendor-agnostic observability SDK for Model Context Protocol (MCP) applications. No vendor lock-in, plug-and-play integration, and extensible for rate limiting, tool filtering, auth, and traceability.

Installation

pip install mcp-hack

Quick Start

1. Get an API Key

1. Visit https://etalesystems.com
2. Sign in with your Google account
3. Create a new API key from the dashboard
4. Set your API key as an environment variable:

export MCP_API_KEY="your_api_key_here"

2. Use in Your Code

import os
from mcp_observability import MCPObservability

# Initialize observability
obs = MCPObservability(
    api_url="https://etalesystems.com/api",  # Production backend URL
    api_key=os.getenv('MCP_API_KEY')  # Your API key from etalesystems.com
)

# Add observability to your MCP tools
@mcp.tool()
@obs.tool_observer("add_numbers")
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b

# Get metrics
metrics = obs.get_metrics()
print(f"Total calls: {metrics['summary']['total_calls']}")

Features

• 🔍 Automatic Tool Tracing: Monitor all MCP tool calls with zero configuration
• 📊 Rich Metrics: Execution time, success rates, error tracking
• 🚀 Non-blocking: Async trace submission doesn't slow down your tools
• 🔒 Secure: API key authentication with environment variable support
• 📈 Dashboard Integration: Real-time visualization of your MCP tools

API Reference

MCPObservability

Main class for MCP observability.

Constructor

MCPObservability(api_url: str, api_key: Optional[str] = None)

• api_url: URL of your observability backend
• api_key: API key for authentication (optional, but required for trace submission)

Methods

tool_observer(tool_name: Optional[str] = None)

Decorator to add observability to MCP tools.

@obs.tool_observer("my_tool")
def my_tool(param: str) -> str:
    return f"Hello {param}"

trace(task: str, context: Dict[str, Any], model_output: str, metadata: Optional[Dict[str, Any]] = None)

Send a custom trace to the backend.

obs.trace(
    task="Custom Task",
    context={"user_input": "Hello"},
    model_output="Response",
    metadata={"custom_field": "value"}
)

get_metrics() -> Dict[str, Any]

Get current metrics snapshot.

metrics = obs.get_metrics()
print(metrics['summary']['total_calls'])

print_metrics()

Print formatted metrics to console.

obs.print_metrics()

Environment Variables

• MCP_API_KEY: Your API key from https://etalesystems.com
• BACKEND_URL: URL of your observability backend (default: https://etalesystems.com/api)

License

MIT License. See LICENSE file for details.

Contributing

Contributions are welcome! Please see our Contributing Guide.

Links

• Documentation
• GitHub Repository
• Issue Tracker
• Dashboard - Generate API keys and view traces