shinzo 1.0.3

Complete Observability for MCP servers

Shinzo Python SDK: Complete Observability for MCP Servers

The SDK provides OpenTelemetry-compatible instrumentation for Python MCP servers. Gain insight into agent usage patterns, contextualize tool calls, and analyze performance of your servers across platforms. Instrumentation can be installed in servers in just a few steps with an emphasis on ease of use and flexibility.

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Installation

The Shinzo Python instrumentation library works with Python MCP servers built with the core MCP SDK or FastMCP. Simply install the base package:

pip install shinzo

Quick Start

Choose the example that matches your MCP SDK:

FastMCP Example

from mcp.server.fastmcp import FastMCP
from shinzo import instrument_server

# Create FastMCP server
mcp = FastMCP(name="my-mcp-server")

# Instrument it with Shinzo
observability = instrument_server(
    mcp,
    config={
        "server_name": "my-mcp-server",
        "server_version": "1.0.0",
        "exporter_auth": {
            "type": "bearer",
            "token": "your-api-token"
        }
    }
)

# Define your tools
@mcp.tool()
def get_weather(city: str) -> str:
    """Get weather for a city."""
    return f"Weather for {city}: Sunny"

# Run the server
if __name__ == "__main__":
    mcp.run()

MCP SDK Example

from mcp.server import Server
from shinzo import instrument_server

# Create your MCP server
server = Server("my-mcp-server")

# Instrument it with Shinzo
observability = instrument_server(
    server,
    config={
        "server_name": "my-mcp-server",
        "server_version": "1.0.0",
        "exporter_auth": {
            "type": "bearer",
            "token": "your-api-token"
        }
    }
)

# Define your tools
@server.call_tool()
async def get_weather(city: str) -> str:
    return f"Weather for {city}: Sunny"

# Clean shutdown
async def shutdown():
    await observability.shutdown()

SDK Compatibility

Shinzo automatically detects and instruments your MCP server regardless of which SDK you use:

SDK	Detection Method	Decorator	Use Case
FastMCP	server.tool attribute	@mcp.tool()	Simpler API, modern Python patterns, recommended for new projects
Traditional MCP	server.call_tool attribute	@server.call_tool()	Standard MCP specification, more configuration options

Both SDKs receive the same comprehensive instrumentation with no additional configuration needed.

Features

• 🔍 Automatic Instrumentation - Zero-code changes for basic tracing across both FastMCP and Traditional MCP
• 📊 Rich Metrics - Track request duration, error rates, and custom metrics
• 🔐 PII Sanitization - Built-in sensitive data protection
• 🎯 Session Tracking - Correlate all requests in a user session
• ⚡ High Performance - Minimal overhead with efficient batching
• 🛠️ Flexible Configuration - Customize sampling, exporters, and processors

Configuration

Setting	Required	Type	Default	Description
server_name	✅	str	-	Name of your MCP server
server_version	✅	str	-	Version of your MCP server
exporter_endpoint	❌	str	"https://api.app.shinzo.ai/telemetry/ingest_http"	OTLP endpoint URL for telemetry export
exporter_auth	❌	AuthConfig	None	Authentication configuration for the exporter
exporter_type	❌	"otlp-http" | "console"	"otlp-http"	Type of exporter to use
sampling_rate	❌	float	1.0	Trace sampling rate (0.0-1.0)
enable_metrics	❌	bool	True	Enable metrics collection
enable_tracing	❌	bool	True	Enable distributed tracing
enable_pii_sanitization	❌	bool	False	Enable automatic PII sanitization
enable_argument_collection	❌	bool	True	Collect and include tool arguments in telemetry
metric_export_interval_ms	❌	int	60000	Interval for exporting metrics (milliseconds)
batch_timeout_ms	❌	int	30000	Timeout for batching telemetry data (milliseconds)
data_processors	❌	list[Callable]	None	Custom data processors for telemetry attributes
pii_sanitizer	❌	PIISanitizer	None	Custom PII sanitizer instance

Authentication Configuration (exporter_auth)

Setting	Required	Type	Description
type	✅	"bearer" | "apiKey" | "basic"	Authentication method
token	❌	str	Bearer token (required when type="bearer")
api_key	❌	str	API key (required when type="apiKey")
username	❌	str	Username (required when type="basic")
password	❌	str	Password (required when type="basic")

Testing

Run the test suite to verify the library's behavior:

# Run all tests
python -m pytest tests/

# Run with coverage report
python -m pytest tests/ --cov=shinzo --cov-report=term-missing

# Run specific test file
python -m pytest tests/test_config.py -v

The test suite validates:

• ✅ Configuration validation and error handling
• ✅ PII sanitization for emails and sensitive data
• ✅ Authentication configuration (bearer, basic, API key)
• ✅ Sampling rate validation

License

MIT License - see LICENSE file for details