# How to integrate Payhere MCP with Autogen

```json
{
  "title": "How to integrate Payhere MCP with Autogen",
  "toolkit": "Payhere",
  "toolkit_slug": "payhere",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/payhere/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/payhere/framework/autogen.md",
  "updated_at": "2026-03-29T06:44:58.701Z"
}
```

## Introduction

This guide walks you through connecting Payhere to AutoGen using the Composio tool router. By the end, you'll have a working Payhere agent that can create a payment link for $50 consultation, list all completed payments this week, send a payment reminder to john doe through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Payhere account through Composio's Payhere MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Payhere with

- [OpenAI Agents SDK](https://composio.dev/toolkits/payhere/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/payhere/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/payhere/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/payhere/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/payhere/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/payhere/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/payhere/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/payhere/framework/cli)
- [Google ADK](https://composio.dev/toolkits/payhere/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/payhere/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/payhere/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/payhere/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/payhere/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/payhere/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 Payhere
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Payhere tools
- Run a live chat loop where you ask the agent to perform Payhere 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 Payhere MCP server, and what's possible with it?

The Payhere MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Payhere account. It provides structured and secure access so your agent can perform Payhere operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PAYHERE_CREATE_HOOK` | Create Hook | Tool to subscribe to a REST hook for receiving webhook events. Use when you need to register a webhook endpoint to receive real-time notifications for payment_received, subscription_cancelled, or subscription_created events. |
| `PAYHERE_CREATE_PLAN` | Create Plan | Tool to create a new payment plan in PayHere. Use when you need to set up either a recurring subscription or one-off payment plan for accepting payments. |
| `PAYHERE_DELETE_HOOK` | Delete Hook | Tool to remove a REST hook listener subscription. Use when you need to stop receiving webhook events for a specific hook. |
| `PAYHERE_GET_CURRENT_COMPANY` | Get Current Company | Tool to fetch company information for the currently authenticated user. Use when you need to retrieve comprehensive company details including identity, configuration, integration status, and associated users. |
| `PAYHERE_GET_CURRENT_COMPANY_STATS` | Get Current Company Stats | Tool to fetch payment statistics for the last 30 days with comparison data from the preceding 30-day period (30-60 days ago). Use when you need to analyze recent payment trends, subscriber growth, or compare current performance against the previous month. |
| `PAYHERE_GET_USER` | Get User | Tool to fetch information on the currently authenticated user. Use when you need to retrieve details about the logged-in user. |
| `PAYHERE_LIST_CUSTOMERS` | List Customers | Tool to list all customers from Payhere, ordered chronologically with most recent first. Use when you need to retrieve customer records, browse customers, or access customer information. Supports pagination via page and per_page parameters. |
| `PAYHERE_LIST_REST_HOOKS` | List REST Hooks | Tool to list all active REST hooks subscriptions for the authenticated company. Use when you need to view all currently registered webhook listeners for your PayHere account. |
| `PAYHERE_LIST_PAYMENTS` | List Payments | Tool to list all payments ordered chronologically, most recent first. Use when you need to retrieve payment history or check payment statuses. Supports pagination with page and per_page parameters. |
| `PAYHERE_LIST_PLANS` | List Plans | Tool to list all plans in your PayHere account. Use when you need to retrieve and paginate through available plans. |
| `PAYHERE_LIST_SUBSCRIPTIONS` | List subscriptions | Tool to list all subscriptions ordered chronologically by most recent payment first. Use when you need to retrieve subscription data with customer and plan details. |
| `PAYHERE_UPDATE_CURRENT_COMPANY` | Update Current Company | Tool to update the company information for the currently authenticated user. Use when modifying company details such as name, legal name, address, logo, support email, website, or branding preferences (button color and text color). |
| `PAYHERE_UPDATE_PLAN` | Update Plan | Tool to update an existing plan's configuration and settings. Use when you need to modify plan properties like name, description, pricing, or other settings for both one-off and subscription plans. |

## Supported Triggers

None listed.

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

The Payhere MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Payhere. Instead of manually wiring Payhere 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 Payhere 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 Payhere 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 Payhere 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 Payhere 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 Payhere session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["payhere"]
    )
    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 Payhere 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 Payhere assistant agent with MCP tools
    agent = AssistantAgent(
        name="payhere_assistant",
        description="An AI assistant that helps with Payhere 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 Payhere 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 Payhere 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 Payhere session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["payhere"]
    )
    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 Payhere assistant agent with MCP tools
        agent = AssistantAgent(
            name="payhere_assistant",
            description="An AI assistant that helps with Payhere 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 Payhere 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 Payhere 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 Payhere, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Payhere MCP Agent with another framework

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

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.

## Frequently Asked Questions

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

With a standalone Payhere MCP server, the agents and LLMs can only access a fixed set of Payhere tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Payhere 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 Payhere tools.

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

Yes, absolutely. You can configure which Payhere 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 Payhere data and credentials are handled as safely as possible.

---
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