# BotPenguin

```json
{
  "name": "BotPenguin",
  "slug": "botpenguin",
  "url": "https://composio.dev/toolkits/botpenguin",
  "markdown_url": "https://composio.dev/toolkits/botpenguin.md",
  "logo_url": "https://logos.composio.dev/api/botpenguin",
  "categories": [
    "sales & customer support"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T15:16:24.680Z"
}
```

![BotPenguin logo](https://logos.composio.dev/api/botpenguin)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with BotPenguin MCP or direct API to manage contacts, review conversations, coordinate bot integrations, and handle cross-platform customer messages through natural language.

## Summary

BotPenguin is an AI chatbot platform for customer messaging, contacts, and conversations.
It helps teams manage bot-led support and lead engagement across channels.

## Categories

- sales & customer support

## Toolkit Details

- Tools: 6

## Images

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

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for BotPenguin.
  - Setup:
    - Configure Api Key credentials for BotPenguin.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- List unresolved BotPenguin customer conversations
- Create BotPenguin contact for new lead
- Summarize recent BotPenguin chat conversations

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BOTPENGUIN_GET_TEMPLATE_DYNAMIC_FIELDS` | Get Template Dynamic Fields | Return the dynamic key-value fields required by a BotPenguin WhatsApp template. |
| `BOTPENGUIN_IMPORT_CONTACTS` | Import Contacts | Import contacts in bulk into BotPenguin. Existing contacts may be updated, and the operation does not return contact IDs. |
| `BOTPENGUIN_LIST_INBOX_CONTACTS` | List Inbox Contacts | Return one page of BotPenguin inbox contacts filtered by whether the contact has interacted with a bot. |
| `BOTPENGUIN_LIST_SEGMENTS` | List Segments | List the contact segments configured in the connected BotPenguin account, including each segment's filter definition and contact count. |
| `BOTPENGUIN_LIST_WHATSAPP_BOTS` | List WhatsApp Bots | List WhatsApp bots available to the connected BotPenguin account for use with plugin template tools. |
| `BOTPENGUIN_LIST_WHATSAPP_TEMPLATES` | List WhatsApp Templates | List WhatsApp templates available to a BotPenguin bot. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

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

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

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

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to BotPenguin
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["botpenguin"])
tools = session.tools()
```

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["botpenguin"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run BotPenguin tools with your agent

Send a request, execute the BotPenguin tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "List recent BotPenguin conversations with unresolved customer messages"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List recent BotPenguin conversations with unresolved customer messages" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to BotPenguin and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["botpenguin"], mcp=True)
```

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["botpenguin"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a BotPenguin request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to BotPenguin tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("List recent BotPenguin conversations with unresolved customer messages")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List recent BotPenguin conversations with unresolved customer messages",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native BotPenguin Integration

- Supports both BotPenguin MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable contact and conversation workflows
- Rich coverage for reading, writing, and querying your BotPenguin customer messaging data

### 2. Managed Auth

- Secure API key handling so you don't have to hard-code BotPenguin credentials
- Central place to manage, scope, and revoke BotPenguin access
- Per user and per environment credentials for safer customer support automation

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Clear tool schemas help agents understand BotPenguin contacts, conversations, and messaging actions
- 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 BotPenguin
- Scoped, least privilege access to BotPenguin resources
- Full audit trail of agent actions to support review, QA, and compliance

## Use BotPenguin with any AI Agent Framework

Choose a framework you want to connect BotPenguin with:

None listed.

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## Frequently Asked Questions

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

Yes, BotPenguin requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling 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)