Chaser MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Chaser MCP or direct API to automate invoice reminders, track outstanding payments, manage customer communications, and update invoice statuses through natural language.
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Glean
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30 min · no commitment · see it on your stack

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Enter a prompt below to test the integration in our Tool Router playground. You'll be redirected to sign in and try it live.

Supported Tools

Tools
Create Contact PersonTool to create a new contact person for a customer in Chaser.
Create InvoiceTool to create a new invoice record in the organization.
Create OverpaymentCreates a new overpayment record in Chaser for tracking customer overpayments.
Delete Contact PersonTool to delete a contact person from a customer record in Chaser.
Get Contact Person by IDTool to get a specific contact person by ID for a customer.
Get Credit Note by IDRetrieve detailed information for a specific credit note by its ID.
Get Credit NotesRetrieves a list of credit notes from Chaser.
Get Current OrganisationTool to retrieve information about the current organisation associated with the API credentials.
Get Customer by IDRetrieve detailed information for a specific customer by their Chaser customer ID.
Get CustomersTool to retrieve a list of all customers associated with the organization.
Get Invoice by IDTool to retrieve detailed information for a specific invoice by its ID.
Get OrganizationTool to retrieve information about the connected organizations.
Get OverpaymentRetrieve detailed information for a specific overpayment by its ID.
Get StatusTool to check the status of the Chaser API.
List Contact PersonsTool to retrieve contact persons for a specific customer.
List InvoicesTool to retrieve invoices with pagination and filtering.
List OverpaymentsTool to retrieve overpayments from Chaser with pagination and filtering.
Create Credit NoteCreates a new credit note record in Chaser for tracking customer credits.
Create CustomerTool to create a new customer record in Chaser.
Update Credit NoteUpdate an existing credit note in Chaser.
Update CustomerTool to update an existing customer's information using their unique Chaser customer ID.
Update InvoiceUpdate an existing invoice in Chaser by its internal ID.
Update Contact PersonTool to update a contact person for a customer in Chaser.
Update OverpaymentTool to update an overpayment record in Chaser.
Upload Invoice PDFUpload a PDF file to an existing invoice in Chaser.
Bulk Upsert CustomersTool to bulk upsert up to 100 customers in a single operation.
Bulk Upsert Contact PersonsTool to bulk insert or update contact persons for a customer.
Bulk Upsert Credit NotesTool to bulk upsert up to 100 credit notes in a single request.
Bulk Upsert InvoicesTool to bulk upsert up to 100 invoices in a single request.
Bulk Upsert OverpaymentsTool to bulk upsert up to 100 overpayments in Chaser, matching by overpayment_id.
Python
TypeScript

Install Composio

python
pip install composio claude-agent-sdk
Install the Composio SDK and Claude Agent SDK

Create 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
Initialize the Composio client and create a Tool Router session

Connect to 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 Chaser tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Create a new invoice for customer ACME Ltd for $500 due next week')
        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())
Use the MCP server with your AI agent

Why Use Composio?

AI Native Chaser Integration

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

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Chaser access
  • Per user and per environment credentials instead of hard-coded keys

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

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Chaser
  • Scoped, least privilege access to Chaser resources
  • Full audit trail of agent actions to support review and compliance

Frequently Asked Questions

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

Yes, Chaser 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.

Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Used by agents from

Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.