1. Conduid
  2. Developer Tools
  3. mcpcat
MCP server · Developer Tools

mcpcat

Analytics tool for MCP (Model Context Protocol) servers - tracks tool usage patterns and provides insights

Unclaimed devtools
39Low

Scored 5 months ago · breakdown

About mcpcat

mcpcat is an MCP server published by git+MCPCat in the Developer Tools category: analytics tool for MCP (Model Context Protocol) servers - tracks tool usage patterns and provides insights.

Install

Install
npx mcpcat
Claude Code
claude mcp add mcpcat-typescript-sdk-gitmcpca -- npx -y mcpcat
npx
npx -y mcpcat

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about mcpcat

Powered by Claude · Grounded in docs

I know everything about mcpcat. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

4 checks have not been run yet.

README

[!NOTE] Looking for the Python SDK? Check it out here mcpcat-python.

MCPcat is an analytics platform for MCP server owners 🐱. It captures user intentions and behavior patterns to help you understand what AI users actually need from your tools — 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.

Why use MCPcat? 🤔

MCPcat helps developers and product owners build, improve, and monitor their MCP servers by capturing user analytics and tracing tool calls.

Use MCPcat for:

  • User session replay 🎬. Follow alongside your users to understand why they're using your MCP servers, what functionality you're missing, and what clients they're coming from.
  • Trace debugging 🔍. See where your users are getting stuck, track and find when LLMs get confused by your API, and debug sessions across all deployments of your MCP server.
  • Existing platform support 📊. Get logging and tracing out of the box for your existing observability platforms (OpenTelemetry, Datadog, Sentry) — eliminating the tedious work of implementing telemetry yourself.

Getting Started

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

Identifying users

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.getUser(request.params.arguments.token);
    return {
      userId: user.id,
      userName: user.name,
      userData: { favoriteColor: user.favoriteColor },
    };
  },
});

Redacting sensitive data

MCPcat redacts all data sent to its servers and encrypts at rest, but for additional security, it offers a hook to do your own redaction on all text data returned back to our servers.

mcpcat.track(mcpServer, "proj_0000000", {
  redactSensitiveInformation: async (text) => await redact(text),
  // or
  redactSensitiveInformation: (text) => redact(text),
});

Existing Platform Support

MCPcat seamlessly integrates with your existing observability stack, providing automatic logging and tracing without the tedious setup typically required. Export telemetry data to multiple platforms simultaneously:

mcpcat.track(server, "proj_0000", {
  // Project ID can optionally be "null" if you just want to forward telemetry
  exporters: {
    otlp: {
      type: "otlp",
      endpoint: "http://localhost:4318/v1/traces",
    },
    datadog: {
      type: "datadog",
      apiKey: process.env.DD_API_KEY,
      site: "datadoghq.com",
      service: "my-mcp-server",
    },
    sentry: {
      type: "sentry",
      dsn: process.env.SENTRY_DSN,
      environment: "production",
    },
    posthog: {
      type: "posthog",
      apiKey: process.env.POSTHOG_API_KEY,
      host: "https://us.i.posthog.com", // Optional: defaults to US region
    },
  },
});

Learn more about our free and open source telemetry integrations.

Free for open source

MCPcat is free for qualified open source projects. We believe in supporting the ecosystem that makes MCP possible. If you maintain an open source MCP server, you can access our full analytics platform at no cost.

How to apply: Email hi@mcpcat.io with your repository link

Already using MCPcat? We'll upgrade your account immediately.

Community Cats 🐱

Meet the cats behind MCPcat! Add your cat to our community by submitting a PR with your cat's photo in the docs/cats/ directory.

Want to add your cat? Create a PR adding your cat's photo to docs/cats/ and update this section!

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About mcpcat

How do I install mcpcat?

Run npx mcpcat, then add the server to your MCP client's configuration.

Is mcpcat safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 2 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is mcpcat still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.