How to integrate Excel MCP with OpenAI Agents SDK

This guide walks you through connecting Excel to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Excel agent that can add sales data row to q2 table, create bar chart from revenue column, share this workbook with your manager through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Excel account through Composio's Excel MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.

54 Tools

Introduction

This guide walks you through connecting Excel to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Excel agent that can add sales data row to q2 table, create bar chart from revenue column, share this workbook with your manager through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Excel account through Composio's Excel MCP server.

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

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Excel
  • Configure an AI agent that can use Excel as a tool
  • Run a live chat session where you can ask the agent to perform Excel operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Excel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Excel account. It provides structured and secure access to your spreadsheets, so your agent can perform actions like adding data, creating tables, managing worksheets, generating charts, and sharing workbooks on your behalf.

  • Automated data entry and updates: Let your agent add rows, columns, or clear specific ranges in any worksheet—keeping your data fresh, organized, and accurate.
  • Effortless table and worksheet management: Direct your agent to create tables, add new worksheets, or organize data structures for seamless tracking and reporting.
  • Dynamic chart generation: Have your agent visualize your data instantly by adding charts to any worksheet for quick insights and analysis.
  • Advanced filtering and sorting: Ask your agent to apply filters or custom sorts to tables, making it easy to focus on what matters most in your datasets.
  • Secure sharing and permission control: Empower your agent to grant access or update permissions on workbooks, ensuring your team can collaborate safely and efficiently.

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

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Excel project
  • Some knowledge of Python or Typescript
2

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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Excel.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Excel
const session = await composio.create(userId as string, {
  toolkits: ['excel'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only excel.
  • The router checks the user's Excel connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Excel.
  • This approach keeps things lightweight and lets the agent request Excel tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Excel. Help users perform Excel operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Excel and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Excel operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Excel.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Excel and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['excel'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Excel. Help users perform Excel operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Excel MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Excel.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every Excel action and event your agent gets out of the box.

Add Chart

Add a chart to a worksheet using Microsoft Graph API.

Add SharePoint Worksheet

Add a new worksheet to a SharePoint Excel workbook using Microsoft Graph Sites API.

Add Table

Create a new table in a worksheet using the Microsoft Graph API.

Add Table Column

Add a column to a table using Microsoft Graph API.

Add Table Row

Add a row to a table using Microsoft Graph API.

Add Workbook Permission

Tool to grant access to a workbook via invite.

Add Worksheet

Add a new worksheet to an Excel workbook using Microsoft Graph API.

Apply Table Filter

Apply a filter to a table column using Microsoft Graph API.

Apply Table Sort

Apply a sort to a table using Microsoft Graph API.

Clear Range

Tool to clear values, formats, or contents in a specified worksheet range.

Clear Table Filter

Clear a filter from a table column using Microsoft Graph API.

Close Excel Session

Tool to close an existing Excel workbook session.

Convert Table To Range

Convert a table to a range using Microsoft Graph API.

Create Workbook

Tool to create a new Excel workbook file at a specified drive path.

Delete Table Column

Delete a column from a table using Microsoft Graph API.

Delete Table Row

Delete a row from a table using Microsoft Graph API.

Delete Worksheet

Tool to delete a worksheet from the workbook.

Export Workbook to PDF

Tool to export an Excel workbook to PDF via Microsoft Graph's format conversion.

Get Chart Axis

Tool to retrieve a specific axis from a chart.

Get Chart Data Labels

Tool to retrieve the data labels object of a chart.

Get Chart Legend

Tool to retrieve the legend object of a chart.

Get Range

Get a range from a worksheet using Microsoft Graph API.

Create Excel Session

Create a session for an Excel workbook using Microsoft Graph API.

Get SharePoint Range

Get a range from a worksheet in SharePoint using Microsoft Graph Sites API.

Get SharePoint Worksheet

Get a worksheet by name or ID from a SharePoint Excel workbook using Microsoft Graph Sites API.

Get table column

Tool to retrieve a specific column from a workbook table.

Get workbook

Tool to retrieve the properties and relationships of a workbook.

Get Worksheet

Get a worksheet by name or ID from an Excel workbook using Microsoft Graph API.

Get Worksheet Used Range

Tool to retrieve a worksheet's used range (active data region) without specifying a fixed range address.

Insert Range

Tool to insert a new cell range into a worksheet, shifting existing cells down or right.

List Charts

List charts in a worksheet using Microsoft Graph API.

List Chart Series

Tool to list all data series in a chart.

List Comments

Tool to list comments in an Excel workbook.

List Drive Item Children

Tool to list immediate children (files/folders) of a folder DriveItem using driveId and itemId.

List Drive Files

List files and folders in a drive root or specified path.

List Named Items

List named items in a workbook using Microsoft Graph API.

List SharePoint Tables

List tables in a SharePoint worksheet using Microsoft Graph Sites API.

List SharePoint Worksheets

List worksheets in an Excel workbook stored in SharePoint using Microsoft Graph Sites API.

List Table Columns

List columns in a table using Microsoft Graph API.

List Table Rows

List rows in a table using Microsoft Graph API.

List Tables

List tables in a worksheet using Microsoft Graph API.

List Workbook Permissions

Tool to list permissions set on the workbook file.

List Worksheets

List worksheets in an Excel workbook using Microsoft Graph API.

Merge Cells

Merge cells in a worksheet range using Microsoft Graph API.

Protect Worksheet

Tool to protect a worksheet using optional protection options.

Search Drive Files

Tool to search OneDrive drive items by query to discover Excel workbook IDs.

Sort Range

Sort a range in a worksheet using Microsoft Graph API.

Update Chart

Update a chart in a worksheet using Microsoft Graph API.

Update Chart Legend

Tool to update formatting or position of a chart legend.

Update Range

Update a range in a worksheet using Microsoft Graph API.

Update SharePoint Range

Update a range in a SharePoint worksheet using Microsoft Graph Sites API.

Update Table

Update a table in a workbook using Microsoft Graph API.

Update Worksheet

Update worksheet properties (name, position) in an Excel workbook using Microsoft Graph API.

Upload Workbook from URL

Tool to upload an external Excel file from a URL into OneDrive/SharePoint.

FAQ

Frequently asked questions

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

Yes, you can. OpenAI Agents SDK 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 Excel tools.

Yes, absolutely. You can configure which Excel 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.

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 Excel data and credentials are handled as safely as possible.

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