Veritax

MCP Server Analytics
Made Simple

Track usage, monitor performance, and gain insights across your Model Context Protocol ecosystem. Comprehensive analytics for MCP server maintainers.

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Ready, Set, Go!

Integrate Veritax into your MCP servers in just three simple steps. Start tracking and monitoring in minutes.

server.py
1

Import

Add Veritax to your imports

1
from mcp.server.fastmcp import FastMCP
2
from veritax_analytics import (
3
trace,
4
setup_analytics
5
)
server.py
2

Setup

Initialize the analytics client

1
@asynccontextmanager
2
async def app_lifespan(server: FastMCP):
3
analytics = setup_analytics()
4
yield AppContext()
server.py
3

Decorate

Add tracing to your functions

1
@mcp.tool()
2
@trace
3
def your_tool():
4
result = do_something()
5
return result
That's it!
Your application is now observableREADY TO GO! 🚀

Supercharge Your MCP Server

Take control over your MCP server without redeploying or republishing. Manage tools, run experiments, and optimize performance from day one through our analytics platform.

Analytics & Tracking

Real-time usage insights

156 tools executed↑ 23% from yesterday

Smart Tool Control

Dynamic enable/disable

mcp_tool_1
mcp_tool_2
mcp_tool_3

A/B Tests for Tools

Optimize performance

mcp_tool_1 (Variant A)150 users
30% success rate
mcp_tool_1 (Variant B)148 users
45% success rate
B WINNING

Showcase Your Excellence

Your MCP Server Score promotes high-performing servers publicly in our repository. This score reflects real performance metrics and user engagement.

0.0
out of 10
Needs Improvement
98.5%
Uptime
142ms
Avg Response
2.4k
Monthly Users
Featured in Public Repository

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Join MCP developers who are already gaining insights into their server performance and usage patterns.

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