MCPcat is an analytics platform for MCP server owners π±.
Config is the same across clients β only the file and path differ.
{
"mcpServers": {
"mcpcat-typescript-sdk": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Looking for the Python SDK? Check it out here mcpcat-python.
This server supports HTTP transport. Be the first to test it β help the community know if it works.
Five weighted categories β click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Be the first to review
Have you used this server?
Share your experience β it helps other developers decide.
Sign in to write a review.
Others in analytics
MCP Server for GCP environment for interacting with various Observability APIs.
β‘ A Simple / Speedy / Secure Link Shortener with Analytics, 100% run on Cloudflare.
MCP server for InsightSentry financial data API - market data, options, screeners, and more
MCP server for Google Lighthouse performance metrics
MCP Security Weekly
Get CVE alerts and security updates for Mcpcat Typescript Sdk and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
[!NOTE] Looking for the Python SDK? Check it out here mcpcat-python.
MCPcat is an analytics platform for MCP server owners π±. It captures user intentions and behavior patterns to help you understand what AI users actually need from your tools β eliminating guesswork and accelerating product development all with one-line of code.
This SDK also provides a free and simple way to forward telemetry like logs, traces, and errors to any Open Telemetry collector or popular tools like Datadog, Sentry, and PostHog.
npm install -S mcpcat
To learn more about us, check us out here. For detailed guides visit our documentation.
MCPcat helps developers and product owners build, improve, and monitor their MCP servers by capturing user analytics and tracing tool calls.
Use MCPcat for:
To get started with MCPcat, first create an account and obtain your project ID by signing up at mcpcat.io. For detailed setup instructions visit our documentation.
Once you have your project ID, integrate MCPcat into your MCP server:
import * as mcpcat from "mcpcat";
const mcpServer = new Server({ name: "echo-mcp", version: "0.1.0" });
// Track the server with MCPCat
mcpcat.track(mcpServer, "proj_0000000");
// Register your tools
You can identify your user sessions with a simple callback MCPcat exposes, called identify.
mcpcat.track(mcpServer, "proj_0000000", {
identify: async (request, extra) => {
const user = await myapi.getUs
... [View full README on GitHub](https://github.com/MCPCat/mcpcat-typescript-sdk#readme)