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?
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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.
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[!IMPORTANT] MCPcat is now AgentCat π± β same team, same product, new name. This package was previously published as
mcpcat, which keeps working forever, but new features land here. Upgrading takes a few minutes β see the migration guide.
[!NOTE] Looking for the Python SDK? Check it out here agentcat-python.
AgentCat 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 agentcat
To learn more about us, check us out here. For detailed guides visit our documentation.
AgentCat helps developers and product owners build, improve, and monitor their MCP servers by capturing user analytics and tracing tool calls.
Use AgentCat for:
To get started with AgentCat, first create an account and obtain your project ID by signing up at agentcat.com. For detailed setup instructions visit our documentation.
Once you have your project ID, integrate AgentCat into your MCP server:
import * as agentcat from "agentcat";
const mcpServer = new Server({ name: "echo-mcp", version: "0.1.0" });
// Track the server with AgentCat
agentcat
... [View full README on GitHub](https://github.com/MCPCat/mcpcat-typescript-sdk#readme)