# How to integrate Postmark MCP with Autogen

```json
{
  "title": "How to integrate Postmark MCP with Autogen",
  "toolkit": "Postmark",
  "toolkit_slug": "postmark",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/postmark/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/postmark/framework/autogen.md",
  "updated_at": "2026-05-12T10:22:34.992Z"
}
```

## Introduction

This guide walks you through connecting Postmark to AutoGen using the Composio tool router. By the end, you'll have a working Postmark agent that can send a password reset email to user, get delivery status for last 10 emails, list all bounced emails from today through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Postmark account through Composio's Postmark MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Postmark with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Postmark
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Postmark tools
- Run a live chat loop where you ask the agent to perform Postmark operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## What is the Postmark MCP server, and what's possible with it?

The Postmark MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Postmark account. It provides structured and secure access to transactional email sending and analytics, so your agent can perform actions like delivering transactional emails, monitoring delivery status, managing templates, and analyzing engagement metrics on your behalf.
- Automated transactional email delivery: Let your agent send password resets, confirmations, and notification emails with high deliverability and reliability.
- Template management and customization: Enable your agent to create, update, or select dynamic email templates for consistent, branded communications.
- Email delivery status monitoring: Ask your agent to track sent messages, check delivery receipts, and identify bounced or failed emails in real time.
- Engagement and analytics tracking: Have your agent retrieve open and click data, analyze engagement trends, and provide actionable insights from your email campaigns.
- Suppression list and recipient management: Direct your agent to manage suppression lists, process unsubscribes, and maintain healthy recipient lists automatically.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POSTMARK_ARCHIVE_MESSAGE_STREAM` | Archive Message Stream | Tool to archive a message stream (soft delete). Use when you need to remove a message stream that will be permanently deleted after 45 days. |
| `POSTMARK_CHECK_SPAM_SCORE` | Check Spam Score | Tool to assess the spam score of a raw email via the SpamCheck API. Use when you have full email source and need spam scoring before sending. Returns spam score and detailed report. |
| `POSTMARK_CREATE_INBOUND_RULE` | Create Inbound Rule | Tool to create a new inbound rule trigger to block email from a specific sender or domain. Use when you need to prevent emails from specific addresses or domains from being processed. |
| `POSTMARK_CREATE_MESSAGE_STREAM` | Create Message Stream | Tool to create a new message stream. Use when you need to set up separate streams for transactional or broadcast emails. |
| `POSTMARK_CREATE_SUPPRESSIONS` | Create Suppressions | Tool to add email addresses to the suppression list for a message stream. Use when you need to prevent emails from being sent to specific addresses. |
| `POSTMARK_CREATE_TEMPLATE` | Create Template | Tool to create a new email template. Use when you need reusable templates before sending emails. |
| `POSTMARK_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook configuration for Postmark. Use when you need to set up a webhook to receive event notifications for email tracking (opens, clicks, bounces, deliveries, etc.). |
| `POSTMARK_DELETE_INBOUND_RULE` | Delete Inbound Rule | Tool to delete a specific inbound rule trigger. Use when you need to remove an inbound rule by its ID after confirming it's no longer needed. |
| `POSTMARK_DELETE_SUPPRESSIONS` | Delete Suppressions | Tool to remove email addresses from the suppression list for a message stream. Use when you need to reactivate previously suppressed email addresses. Note that only HardBounce and ManualSuppression types can be deleted; SpamComplaint suppressions cannot be removed. |
| `POSTMARK_DELETE_TEMPLATE` | Delete Template | Tool to delete a template by its ID or alias. Use when you need to permanently remove a template after confirming it's no longer needed. |
| `POSTMARK_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specific webhook. Use when you need to remove a webhook by its ID after confirming it's no longer needed. |
| `POSTMARK_EDIT_SERVER` | Edit Server | Tool to update settings for the current Postmark server. Use when you need to modify server configuration. |
| `POSTMARK_EDIT_TEMPLATE` | Edit Template | Tool to update an existing Postmark template by its ID. Use when you need to modify a template's name, subject, HTML or text body, alias, type, layout, or active status. |
| `POSTMARK_EDIT_WEBHOOK` | Edit Webhook | Tool to update an existing webhook’s URL or triggers. Use when you need to modify webhook settings after confirming the webhookID. |
| `POSTMARK_GET_BOUNCE_COUNTS` | Get Bounce Counts | Tool to get total counts of emails that have been returned as bounced. Use when you need aggregate bounce statistics and per-day breakdown by bounce type (hard bounce, soft bounce, transient, SMTP API errors). |
| `POSTMARK_GET_BOUNCES` | Get Bounces | Tool to retrieve a list of bounces for a server with optional filters. Use when you need to page through bounce data after applying filters. |
| `POSTMARK_GET_BROWSER_PLATFORM_USAGE` | Get Browser Platform Usage | Tool to retrieve browser platform usage statistics for clicked links. Use after sending outbound emails with tracked links to analyze engagement by browser. |
| `POSTMARK_GET_BROWSER_USAGE` | Get Browser Usage | Tool to retrieve browser usage statistics for clicked links. Use after sending tracked outbound emails to analyze which browsers and platforms were used to click links. |
| `POSTMARK_GET_CLICK_COUNTS` | Get Click Counts | Tool to retrieve total click counts across all links in emails. Use when you need aggregated click metrics for a given date range. |
| `POSTMARK_GET_CLICKS_BY_BROWSER_FAMILY` | Get Clicks By Browser Family | Tool to retrieve click statistics grouped by browser family. Use after sending outbound emails with tracked links to analyze which browser families recipients used to click links. Requires link tracking to be enabled for emails. |
| `POSTMARK_GET_CLICKS_BY_LOCATION` | Get Clicks by Location | Tool to get an overview of which part of the email links were clicked from (HTML or Text). Use when you need to analyze click patterns by content type. |
| `POSTMARK_GET_DELIVERY_STATS` | Get Delivery Stats | Tool to retrieve delivery statistics. Use after sending emails to get aggregated counts of deliveries, bounces, and spam complaints. |
| `POSTMARK_GET_EMAIL_CLIENT_USAGE` | Get Email Client Usage | Tool to retrieve statistics on email clients used to open emails. Use when you need to analyze which clients recipients open your outbound emails. |
| `POSTMARK_GET_EMAIL_OPEN_COUNTS` | Get Email Open Counts | Tool to retrieve counts of opened emails. Use when you need per-day and total open stats for a specified period. |
| `POSTMARK_GET_MESSAGE_STREAM` | Get Message Stream | Tool to retrieve details of a specific message stream by its ID. Use when you need to inspect stream configuration such as type, description, or subscription settings. |
| `POSTMARK_GET_OPENS_BY_PLATFORM` | Get Opens by Platform | Tool to retrieve email open statistics by platform type. Use when you need to understand which platforms recipients use to open emails. |
| `POSTMARK_GET_OUTBOUND_OVERVIEW` | Get Outbound Overview | Tool to retrieve outbound email statistics overview. Use when you need aggregated outbound metrics after sending emails. |
| `POSTMARK_GET_SENT_COUNTS` | Get Sent Counts | Tool to retrieve total count of emails sent out. Use when you need per-day and total sent statistics for a specified period. |
| `POSTMARK_GET_SERVER` | Get Server | Tool to retrieve details of the current Postmark server. Use when you need to inspect server configuration (webhooks, tracking, tokens, etc.) before other operations. |
| `POSTMARK_GET_SPAM_COMPLAINTS` | Get Spam Complaints | Tool to retrieve counts of spam complaints. Use when analyzing spam feedback trends after sending campaigns. |
| `POSTMARK_GET_TEMPLATE` | Get Template | Tool to retrieve details of a specific template by its ID. Use after obtaining a template ID to inspect its configuration. |
| `POSTMARK_GET_TRACKED_EMAIL_COUNTS` | Get Tracked Email Counts | Tool to retrieve counts of emails with tracking enabled. Use after specifying a date range to analyze open and click metrics. |
| `POSTMARK_GET_WEBHOOK` | Get Webhook | Tool to retrieve details of a specific webhook by its ID. Use when you need to inspect webhook configuration including URL, triggers, and message stream settings. |
| `POSTMARK_LIST_INBOUND_RULES` | List Inbound Rules | Tool to list all inbound rules (triggers) configured for blocking senders. Use when you need to retrieve configured inbound rules with pagination support. |
| `POSTMARK_LIST_MESSAGE_STREAMS` | List Message Streams | Tool to list all message streams for a Postmark server with optional type and archive filtering. Use when you need to retrieve available message streams. A server may have up to 10 streams including defaults. |
| `POSTMARK_LIST_OUTBOUND_MESSAGE_CLICKS` | List Outbound Message Clicks | Tool to list clicks for outbound messages with filtering options. Use when you need to retrieve click events with pagination and optional filters like recipient, tag, client, OS, platform, or geographic location. |
| `POSTMARK_LIST_OUTBOUND_MESSAGE_OPENS` | List Outbound Message Opens | Tool to retrieve opens for outbound messages with filtering options. Use when you need to analyze email open events with detailed client, OS, and geographic data. |
| `POSTMARK_LIST_SUPPRESSIONS` | List Suppressions | Tool to retrieve the suppression list for a message stream with optional filtering. Use when you need to view all suppressed email addresses for a stream. |
| `POSTMARK_LIST_TEMPLATES` | List Templates | Tool to list all templates for a Postmark server. Use when you need to retrieve available templates with optional pagination and filters. |
| `POSTMARK_LIST_WEBHOOKS` | List Webhooks | Tool to list all webhooks configured for your Postmark account. Use after authenticating your server token to retrieve current webhook configurations. |
| `POSTMARK_SEARCH_INBOUND_MESSAGES` | Search Inbound Messages | Tool to search inbound messages received with optional filtering. Use when you need to retrieve inbound emails with pagination and various filters. |
| `POSTMARK_SEARCH_OUTBOUND_MESSAGES` | Search Outbound Messages | Tool to search outbound messages with filtering by recipient, tag, status, and date range. Use when you need to query sent messages with specific filters or pagination. |
| `POSTMARK_SEND_BATCH_WITH_TEMPLATES` | Send Batch Templated Emails | Tool to send multiple templated emails in a single batch API call. Use when you need to send up to 500 templated messages at once. |
| `POSTMARK_UNARCHIVE_MESSAGE_STREAM` | Unarchive Message Stream | Tool to unarchive a previously archived message stream. Use when you need to restore an archived stream (within 45 days of archiving). |
| `POSTMARK_UPDATE_MESSAGE_STREAM` | Update Message Stream | Tool to update a message stream configuration in Postmark. Use when you need to modify a stream's name or description. Note that stream type and ID cannot be changed after creation. |
| `POSTMARK_VALIDATE_TEMPLATE` | Validate Template | Tool to validate a Postmark template. Use when checking that a template's subject and body render correctly against sample data. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Postmark MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Postmark. Instead of manually wiring Postmark APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Postmark account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Postmark via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Postmark connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Postmark tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Postmark session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["postmark"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Postmark tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Postmark assistant agent with MCP tools
    agent = AssistantAgent(
        name="postmark_assistant",
        description="An AI assistant that helps with Postmark operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Postmark tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Postmark related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Postmark session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["postmark"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Postmark assistant agent with MCP tools
        agent = AssistantAgent(
            name="postmark_assistant",
            description="An AI assistant that helps with Postmark operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Postmark related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Postmark through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Postmark, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Postmark MCP Agent with another framework

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

## Related Toolkits

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- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
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- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Postmark MCP?

With a standalone Postmark MCP server, the agents and LLMs can only access a fixed set of Postmark tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Postmark and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Postmark tools.

### Can I manage the permissions and scopes for Postmark while using Tool Router?

Yes, absolutely. You can configure which Postmark scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Postmark data and credentials are handled as safely as possible.

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