PostHog MCP
MCP by PostHog integrates external tools for AI code creation, improving coding efficiency and app intelligence. It supports dashboards, insights, and experiment tools for streamlined development.
How to Install and Use PostHog MCP
PostHog MCP is a powerful tool that helps you manage and integrate AI code creation easily. This guide will walk you through how to install PostHog MCP and run example code step by step. Let’s get started!
Step 1: Prepare Your System
Before installing PostHog MCP, make sure your computer has Node.js installed, since MCP runs with it. If you don’t have Node.js yet, download and install it from nodejs.org.
Once you have Node.js, you are ready for installing the MCP package.
Step 2: Install PostHog MCP
To install PostHog MCP, open your terminal or command prompt. You will use pnpm, a fast package manager, to install MCP. If you do not have pnpm installed, you can install it by running:
npm install -g pnpm
Now, install PostHog MCP by running this command:
pnpm add @posthog/mcp
This command will add MCP to your project.
Step 3: Start Using MCP with Examples
After installing, you can try out the examples to see how PostHog MCP works. In the MCP GitHub repository, there's a folder named examples that includes sample code.
Here’s how to run an example:
- Clone the MCP repository to your local machine:
git clone https://github.com/PostHog/mcp.git
cd mcp/examples
- Run the example code using Node.js:
node your-example-file.js
Replace your-example-file.js with the name of the example script you want to try, such as langchain-js-example.js.
Step 4: Use MCP in Your Own Project
To use PostHog MCP in your project, import it like this in your JavaScript or TypeScript code:
import { Client } from '@posthog/mcp'
const client = new Client({ apiKey: 'YOUR_API_KEY' })
async function run() {
const results = await client.someMethod()
console.log(results)
}
run()
Make sure to replace 'YOUR_API_KEY' with your actual API key from PostHog. This sets up the client to interact with the MCP API.
Summary
You have now installed PostHog MCP, seen how to run examples, and learned how to add it to your own code. With these practical steps, you can easily explore the powerful AI code creation features that PostHog MCP offers!