How to integrate Ramp MCP with LlamaIndex

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Introduction

This guide walks you through connecting Ramp to LlamaIndex 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 LlamaIndex 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:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Ramp
  • Connect LlamaIndex to the Ramp MCP server
  • Build a Ramp-powered agent using LlamaIndex
  • Interact with Ramp through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built 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 you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Ramp account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Ramp

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID

Installing dependencies

pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv

Create a new Python project and install the necessary dependencies:

  • composio-llamaindex: Composio's LlamaIndex integration
  • llama-index: Core LlamaIndex framework
  • llama-index-llms-openai: OpenAI LLM integration
  • llama-index-tools-mcp: MCP client for LlamaIndex
  • python-dotenv: Environment variable management

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Ramp access

Import modules

import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

Create a new file called ramp_llamaindex_agent.py and import the required modules:

Key imports:

  • asyncio: For async/await support
  • Composio: Main client for Composio services
  • LlamaIndexProvider: Adapts Composio tools for LlamaIndex
  • ReActAgent: LlamaIndex's reasoning and action agent
  • BasicMCPClient: Connects to MCP endpoints
  • McpToolSpec: Converts MCP tools to LlamaIndex format

Load environment variables and initialize Composio

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_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")

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["ramp"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Ramp actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Ramp actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, ramp)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Ramp tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

What's happening here:

  • We're creating a direct terminal interface to chat with your Ramp database
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are displayed in a clear, readable format

Define the main entry point

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Ramp

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Ramp, then start asking questions.

Complete Code

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

import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
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")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["ramp"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Ramp actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Ramp actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

Conclusion

You've successfully connected Ramp to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Ramp tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

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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 LlamaIndex?

Yes, you can. LlamaIndex 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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