# How to integrate Chaser MCP with CrewAI

```json
{
  "title": "How to integrate Chaser MCP with CrewAI",
  "toolkit": "Chaser",
  "toolkit_slug": "chaser",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/chaser/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/chaser/framework/crew-ai.md",
  "updated_at": "2026-05-06T08:05:28.338Z"
}
```

## Introduction

This guide walks you through connecting Chaser to CrewAI using the Composio tool router. By the end, you'll have a working Chaser agent that can create a new invoice for customer abc ltd, list all customers with overdue invoices, update email address for customer by external id through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Chaser account through Composio's Chaser MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Chaser with

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

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Chaser connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Chaser
- Build a conversational loop where your agent can execute Chaser operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

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

The Chaser MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Chaser account. It provides structured and secure access to your accounts receivable data, so your agent can create and manage invoices, update customer records, generate credit notes, and retrieve key financial details on your behalf.
- Automated invoice management: Create, update, and track invoices programmatically—making it easy for your agent to help you stay on top of accounts receivable.
- Customer information handling: Retrieve, create, and update customer records so your assistant can help onboard new clients or keep customer details up-to-date.
- Credit note processing: Generate and fetch credit notes, allowing your agent to handle adjustments and reconciliations quickly and accurately.
- Organization data retrieval: Access up-to-date information about your organization, including IDs, currency settings, and compliance details, for seamless financial operations.
- Efficient accounts review: Instantly pull lists of customers or credit notes to review outstanding balances, statuses, and financial health—all through conversational prompts.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CHASER_CREATE_INVOICE` | Create Invoice | Tool to create a new invoice record in the organization. use after ensuring the customer exists in chaser. |
| `CHASER_GET_CREDIT_NOTES` | Get Credit Notes | Tool to retrieve a list of credit notes. use after authenticating this detail. |
| `CHASER_GET_CUSTOMER_BY_ID` | Get Customer by ID | Tool to retrieve details for a specific customer by their external (source system) id. use after obtaining the external id when you need specific customer information. |
| `CHASER_GET_CUSTOMERS` | Get Customers | Tool to retrieve a list of all customers associated with the organization. use when you need to display or process complete customer contact and status information. |
| `CHASER_GET_ORGANIZATION` | Get Organization | Tool to retrieve information about the connected organizations. use when you need organization ids, currency, timezone, or legal details before other operations. |
| `CHASER_POST_CREDIT_NOTE` | Create Credit Note | Tool to create a new credit note record in the organization. use after confirming invoice adjustments. |
| `CHASER_POST_CUSTOMER` | Create Customer | Tool to create a new customer record in chaser. use after obtaining basic auth credentials. |
| `CHASER_PUT_CUSTOMER` | Update Customer | Tool to update an existing customer's information using their unique externalid. use after confirming the customer's externalid. e.g., "update contactemailaddress for externalid cust abc123." |
| `CHASER_PUT_INVOICE` | Update Invoice | Tool to update an existing invoice's information using its unique identifier. use after confirming the invoice exists when you need to modify fields like status, amounts, or dates. |

## Supported Triggers

None listed.

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

The Chaser MCP server is an implementation of the Model Context Protocol that connects your AI agent to Chaser. It provides structured and secure access so your agent can perform Chaser operations on your behalf through a secure, permission-based interface.
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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account and API key
- A Chaser connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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

**What's happening:**
- composio connects your agent to Chaser via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Chaser MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Chaser

**What's happening:**
- You create a Chaser only session through Composio
- Composio returns an MCP HTTP URL that exposes Chaser tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["chaser"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["chaser"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Chaser through Composio's Tool Router. The agent can perform Chaser operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Chaser MCP Agent with another framework

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

## 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.
- [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.
- [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations.

## Frequently Asked Questions

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

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

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

Yes, you can. CrewAI 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 Chaser tools.

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

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

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