# Honeybadger

```json
{
  "name": "Honeybadger",
  "slug": "honeybadger",
  "url": "https://composio.dev/toolkits/honeybadger",
  "markdown_url": "https://composio.dev/toolkits/honeybadger.md",
  "logo_url": "https://logos.composio.dev/api/honeybadger",
  "categories": [
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:15:01.607Z"
}
```

![Honeybadger logo](https://logos.composio.dev/api/honeybadger)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Honeybadger MCP or direct API to fetch errors, create incidents, update project settings, and automate monitoring workflows through natural language.

## Summary

Honeybadger is an error tracking and application monitoring service for developers. It helps you spot, resolve, and get notified about app issues—before your users even notice.

## Categories

- developer tools & devops

## Toolkit Details

- Tools: 7

## Images

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

## Authentication

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

## Suggested Prompts

- Report a new deployment to Honeybadger
- Upload JavaScript source maps after release
- Send a custom error event for diagnostics
- Report scheduled task check-in for uptime

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HONEYBADGER_REPORT_CHECK_IN` | Report Check-In | Reports a check-in (ping) to Honeybadger for uptime monitoring. Check-ins are used to monitor scheduled tasks, cron jobs, and background processes. By pinging this endpoint regularly, you signal that your task is running on schedule. If Honeybadger doesn't receive a ping within the expected timeframe, it will alert you that the task may have failed or stopped running. Use this action at the end of successful task executions to notify Honeybadger the task completed as expected. |
| `HONEYBADGER_REPORT_CHECK_IN_WITH_PAYLOAD` | Report Check-In With Payload | Report a check-in with additional payload data to Honeybadger. Use when monitoring scheduled tasks or cron jobs and need to send metrics, status, or metadata (up to 20KB). |
| `HONEYBADGER_REPORT_DEPLOYMENT` | Report Deployment | Report a new deployment to Honeybadger for deployment tracking and error correlation. Use this tool after deploying code to notify Honeybadger, which allows you to: - Track deployment history on your project's Deployments page - Correlate errors with specific deployments - Automatically resolve errors when deploying to an environment All deployment fields are optional, but providing environment and revision is recommended for better tracking. |
| `HONEYBADGER_REPORT_EVENT` | Report Event | Send custom events to Honeybadger Insights for tracking, monitoring, and analytics. Use this action to record any structured event data such as: - User activity and behavioral events (logins, page views, feature usage) - Application errors and exceptions with context - Performance metrics and timing data - Custom business events and audit trails - System health and operational metrics Events are sent as newline-delimited JSON (NDJSON) and can include any custom fields. The API returns tracking IDs for each successfully recorded event. |
| `HONEYBADGER_REPORT_EXCEPTION` | Report Exception | Tool to report an exception notice to Honeybadger. Use when sending error details (stack trace, context) for diagnostics. |
| `HONEYBADGER_UPLOAD_FILE_TO_S3` | Upload File to S3 | Tool to upload a local file to a managed S3 bucket. Use when preparing files for source-map uploads. |
| `HONEYBADGER_UPLOAD_SOURCE_MAP` | Upload Source Map | Upload JavaScript source maps to Honeybadger for error stack trace de-minification. Use this tool after deploying minified JavaScript assets to enable Honeybadger to display un-minified, readable stack traces when errors occur. Source maps allow Honeybadger to map minified code back to your original source code with proper file names, function names, and line numbers. The tool uploads: (1) the minified JS file, (2) its corresponding .map file, and optionally (3) additional source files referenced by the map, all associated with the production URL. |

## 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 Honeybadger Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Honeybadger actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Report a new deployment for staging environment'
  }]
)
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: 'Report a new deployment for staging environment'
  }],
});
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 and Claude Agent SDK
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create Tool Router Session

Initialize the Composio client and create a Tool Router session
```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' });

console.log("Creating Tool Router session...");
const { mcp } = await composio.create('your-user-id');
console.log(`Tool Router session created: ${mcp.url}`);
```

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

Use the MCP server with your AI agent
```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 Honeybadger tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Report a new deployment to Honeybadger for the production app')
        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, stepCountIs } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: 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: 'Report a new deployment to Honeybadger for the production app' }],
  stopWhen: stepCountIs(5)
});

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

## Why Use Composio?

### 1. AI Native Honeybadger Integration

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

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Honeybadger 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 Honeybadger
- Scoped, least privilege access to Honeybadger resources
- Full audit trail of agent actions to support review and compliance

## Use Honeybadger with any AI Agent Framework

Choose a framework you want to connect Honeybadger with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/honeybadger/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/honeybadger/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/honeybadger/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/honeybadger/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/honeybadger/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/honeybadger/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/honeybadger/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/honeybadger/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/honeybadger/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/honeybadger/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/honeybadger/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/honeybadger/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/honeybadger/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/honeybadger/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/honeybadger/framework/autogen)

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## Frequently Asked Questions

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

Yes, Honeybadger requires you to configure your own API key credentials. 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)