# PostHog MCP

```json
{
  "name": "PostHog MCP",
  "slug": "posthog_mcp",
  "url": "https://composio.dev/toolkits/posthog_mcp",
  "markdown_url": "https://composio.dev/toolkits/posthog_mcp.md",
  "logo_url": "https://logos.composio.dev/api/posthog_mcp",
  "categories": [
    "analytics & data"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-25T05:32:36.332Z"
}
```

![PostHog MCP logo](https://logos.composio.dev/api/posthog_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with PostHog MCP or direct API to query event data, list feature flags, analyze experiment results, and fetch recent errors through natural language.

## Summary

PostHog is a product analytics platform for tracking user behavior, feature flags, experiments, and errors.
Use it to understand product metrics, validate features, and surface issues quickly.

## Categories

- analytics & data

## Toolkit Details

- Tools: 1

## Images

- Logo: https://logos.composio.dev/api/posthog_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for PostHog MCP.
  - Setup:
    - Configure Dcr Oauth credentials for PostHog MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- List active feature flags and their rollout
- Summarize experiment results for signup flow
- Get recent error events with stack traces

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POSTHOG_MCP_EXEC` | Exec | ### Using the `posthog` tool PostHog makes your product self-driving: it reads your data and ships changes with you, never without you. Spans analytics, experiments, flags, replay, and more. Pass CLI-style commands in the `command` parameter for all PostHog interactions. **Requirements** 1. Find unknown tools with `search` or `tools`. 2. Run `info ` once if its schema is not in context. Reuse it unless the tool changes or a schema error occurs. Never guess a schema or run `info` before every call. **Commands (in order):** ```text # 1. Find unknown tools posthog:exec({ "command": "search " }) posthog:exec({ "command": "tools" }) # fallback: list all # 2. Inspect once if the schema is missing posthog:exec({ "command": "info " }) # 3. Drill into complex fields — REQUIRED for any field with a `hint` posthog:exec({ "command": "schema " }) # 4. Call; reuse the schema posthog:exec({ "command": "call " }) posthog:exec({ "command": "call --json " }) ``` **Schema drill-down:** - `info` returns the full schema if it fits the token budget; otherwise it auto-summarizes (names, types, required, enums, defaults) and attaches `hint` entries pointing to `schema ` for complex fields. - `schema ` (no path) returns the summarized top-level schema. - `schema ` resolves a dot path, descending through: - object `properties` (e.g. `query.source`) - array `items` — numeric segments step into items (`events.0.properties`), or jump to a property on the item type (`events.id`) - `anyOf`/`oneOf` — numeric segment picks a variant by index, or a property name matches any object variant defining it - Oversized sub-schemas are also summarized with a `note` to drill further. - Unknown paths return an error listing available child paths. **Not supported:** - `search` matches tool metadata only, not input schemas. - No pattern-based field projection — drill one path at a time. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute PostHog MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute PostHog MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'YOUR_SPECIFIC_PROMPT_HERE'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for PostHog MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to PostHog MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('YOUR_SPECIFIC_PROMPT_HERE')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native PostHog MCP Integration

- Supports both PostHog MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your PostHog MCP data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke PostHog MCP access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access PostHog MCP
- Scoped, least privilege access to PostHog MCP resources
- Full audit trail of agent actions to support review and compliance

## Use PostHog MCP with any AI Agent Framework

Choose a framework you want to connect PostHog MCP with:

- [ChatGPT](https://composio.dev/toolkits/posthog_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/posthog_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/posthog_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### Do I need my own developer credentials to use PostHog MCP with Composio?

Yes, PostHog MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)