How to integrate Ramp MCP with Pydantic AI

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Introduction

This guide walks you through connecting Ramp to Pydantic AI using the Composio tool router. By the end, you'll have a working Ramp agent that can download last month's statement as pdf, list all transactions over $500 this week, get details of your virtual cards through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Ramp account through Composio's Ramp MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Ramp with

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Ramp
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Ramp workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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

The Ramp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ramp account. It provides structured and secure access to your company's financial data, so your agent can fetch transactions, analyze card activity, generate statements, manage departments, and retrieve detailed expense information on your behalf.

  • Comprehensive transaction tracking: Instantly pull lists of all your business transactions or your own card activity, making it easy to monitor expenses and spot anomalies.
  • Card management and insights: Retrieve details about specific Ramp cards or see all cards assigned to you, including limits, status, and cardholder info for better financial oversight.
  • Automated statement generation: Ask your agent to generate and download account statements in multiple formats (PDF, CSV, JSON) for reporting or bookkeeping.
  • Department and organizational management: Create new departments or fetch detailed department profiles to help structure your expense tracking and categorize spending.
  • Detailed transaction analysis: Dive into specific transactions to get merchant information, receipts, dispute details, and accounting codes for audit and compliance purposes.

Supported Tools & Triggers

Tools
Create DepartmentTool for creating a new department in your Ramp organization.
Create Inventory Item Accounting FieldTool to create a new inventory item accounting field for tracking inventory categories.
Create Transaction MemoTool for uploading a new memo for a transaction in Ramp.
Create Mileage ReimbursementTool to create a mileage reimbursement in Ramp.
Create New Custom Accounting FieldTool for creating a new custom accounting field.
Create Tax Code Accounting FieldTool to create a new tax code accounting field in Ramp.
Create User InviteTool to create a user invite for onboarding new employees to Ramp.
Create Webhook SubscriptionTool to create a new webhook subscription for receiving event notifications from Ramp.
Deactivate UserTool to deactivate a user in your Ramp organization.
Delete Accounting GL AccountTool to delete a general ledger account from Ramp.
Delete Accounting ConnectionTool to disconnect the current active API-based accounting connection.
Delete Custom Accounting FieldTool to delete a custom accounting field from Ramp.
Delete Accounting Inventory Item OptionTool to delete an accounting inventory item option from Ramp.
Delete Tax Code Accounting FieldTool to delete the tax code accounting field from Ramp.
Delete Accounting Tax Code OptionTool to delete a tax code option from Ramp.
Delete Accounting Tax RateTool to delete an accounting tax rate from Ramp.
Delete Accounting VendorTool to delete an accounting vendor from Ramp.
Delete Custom Field OptionTool to delete a custom accounting field option from Ramp.
Delete Inventory Item FieldTool to delete the inventory item accounting field from Ramp.
Remove Users from Shared LimitTool to remove users from a shared spend limit in Ramp.
Delete Webhook SubscriptionTool to delete a webhook subscription by ID.
Fetch General Ledger AccountTool to fetch a specific general ledger account by ID from Ramp.
Fetch Accounting VendorTool to fetch a specific accounting vendor by ID from Ramp.
Fetch Custom Accounting FieldTool for fetching a custom accounting field.
List General Ledger AccountsTool to list general ledger accounts from Ramp.
Fetch All Accounting ConnectionsTool to fetch all accounting connections for the current Ramp business.
Get Accounting ConnectionTool to fetch the current active accounting connection for a Ramp account.
Fetch Accounting Connection By IDTool to fetch a specific accounting connection by ID from Ramp.
List Custom Accounting FieldsTool to list custom accounting fields for coding transactions.
List Accounting VendorsTool to list accounting vendors from Ramp.
Get All TransactionsGet all the transactions.
Get CardTool for retrieving detailed information about a specific card.
Get Card Vault ResourceTool to fetch a card's sensitive details from the vault.
Get Custom Field OptionTool to fetch a custom accounting field option by its ID.
Get DepartmentTool for retrieving detailed information about a specific department.
Get Inventory Item FieldTool to fetch inventory item accounting field for the current accounting connection.
Get MemoTool to fetch a transaction memo.
Get Reimbursement DetailsTool for retrieving complete details of a specific reimbursement.
Get Spend LimitTool to fetch detailed information about a specific spend limit.
Get StatementTool for retrieving statement details or downloading statements.
Get Transaction DetailsTool for retrieving complete details of a specific transaction.
Get UserTool to retrieve detailed information about a specific Ramp user by their ID.
Get Users Deferred StatusTool for fetching the status of a deferred user task.
Get Vendor DetailsTool for retrieving detailed information about a specific vendor.
Get WebhookTool to retrieve detailed information about a specific webhook subscription by ID.
Issue Virtual CardTool for issuing virtual cards to users instantly.
List Accounting Inventory Item OptionsTool to list accounting inventory item options from Ramp.
List Accounting Tax RatesTool to list tax rates from Ramp's accounting integration.
List All CardsTool for listing all cards across the organization with optional filters.
List DepartmentsTool for listing all departments in the organization.
List MemosTool for listing memos associated with transactions in your Ramp organization.
List ReimbursementsTool for listing reimbursements with comprehensive filtering options.
List StatementsTool for listing all statements with filtering options.
List UsersTool for listing users in your Ramp organization with flexible filtering.
List VendorsTool for listing vendors with their spending information.
List Vendor Bank AccountsTool for listing bank accounts associated with a specific vendor.
List Vendor ContactsTool for listing contacts associated with a specific vendor.
List Vendor CreditsTool to list all vendor credits for all vendors of a business.
List WebhooksTool for listing all webhook subscriptions for the organization.
Options for Custom Accounting FieldTool for listing options for a given accounting field.
Update Accounting ConnectionTool to update an accounting connection's settings.
Update CardTool to update a card's properties including owner, display name, and spending restrictions.
Update Custom Field OptionTool to update a custom accounting field option.
Update General Ledger AccountTool to update a general ledger account in Ramp.
Update Inventory Item FieldTool to update the inventory item accounting field for a Ramp connection.
Upload Accounting GL AccountsTool to batch upload general ledger accounts to Ramp.
Create Accounting ConnectionTool to register a new API-based accounting connection between Ramp and an accounting provider.
Upload Accounting VendorsTool to batch upload vendors to Ramp for coding transactions, bills, and purchase orders.
Upload Inventory Item OptionsTool to upload inventory item options for an active inventory item accounting field.
Create Physical CardTool to create a physical card asynchronously.
Reactivate Accounting ConnectionTool to reactivate a previously unlinked accounting connection by changing its status back to linked.
Reactivate UserTool to reactivate a suspended user in your Ramp organization.
Submit Reimbursement ReceiptTool to upload a receipt for a reimbursement.
Suspend CardTool to suspend a card by creating an async task that locks the card from use.
Terminate CardTool to permanently terminate a Ramp card.
Update Custom Accounting FieldTool to update a custom accounting field.
Update Accounting Inventory Item OptionTool to update an inventory item option in Ramp's accounting system.
Update Accounting Tax CodeTool to update tax code accounting field.
Update Accounting Tax Code OptionTool to update a tax code option in Ramp.
Update Accounting Tax RateTool to update an accounting tax rate in Ramp.
Update Accounting VendorTool to update an accounting vendor in Ramp.
Update Card Spending LimitTool for updating spending limits on a card.
Update DepartmentTool for updating an existing department in your Ramp organization.
Update Spending LimitTool to update a spending limit in Ramp.
Update UserTool to update an existing user in your Ramp organization.
Upload New Options for Custom Accounting FieldTool for uploading new options for a given accounting field.
Upload Tax Code OptionsTool to upload tax code options to Ramp.
Upload Accounting Tax RatesTool to batch upload tax rates to Ramp.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Ramp
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Ramp
  • MCPServerStreamableHTTP connects to the Ramp MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Ramp
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ramp"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Ramp tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
ramp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[ramp_mcp],
    instructions=(
        "You are a Ramp assistant. Use Ramp tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Ramp endpoint
  • The agent uses GPT-5 to interpret user commands and perform Ramp operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Ramp.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Ramp API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Ramp and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Ramp
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ramp"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    ramp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[ramp_mcp],
        instructions=(
            "You are a Ramp assistant. Use Ramp tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Ramp.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Ramp through Composio's Tool Router. With this setup, your agent can perform real Ramp actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Ramp for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

How to build Ramp MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Ramp MCP?

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

Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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 Ramp tools.

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

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

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

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