How to integrate Excel MCP with OpenAI Agents SDK

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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can add sales data row to q2 table, create bar chart from revenue column, share this workbook with my manager, clear outdated entries from worksheet range through natural language commands.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.

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 open-ai-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.

Supported Tools & Triggers

Tools
Add ChartAdd a chart to a worksheet using microsoft graph api.
Add SharePoint WorksheetAdd a new worksheet to a sharepoint excel workbook using microsoft graph sites api.
Add TableCreate a table in a workbook using microsoft graph api.
Add Table ColumnAdd a column to a table using microsoft graph api.
Add Table RowAdd a row to a table using microsoft graph api.
Add Workbook PermissionTool to grant access to a workbook via invite.
Add WorksheetAdd a new worksheet to an excel workbook using microsoft graph api.
Apply Table FilterApply a filter to a table column using microsoft graph api.
Apply Table SortApply a sort to a table using microsoft graph api.
Clear RangeTool to clear values, formats, or contents in a specified worksheet range.
Clear Table FilterClear a filter from a table column using microsoft graph api.
Close Excel SessionTool to close an existing excel workbook session.
Convert Table To RangeConvert a table to a range using microsoft graph api.
Create WorkbookTool to create a new workbook file at a specified drive path.
Delete Table ColumnDelete a column from a table using microsoft graph api.
Delete Table RowDelete a row from a table using microsoft graph api.
Delete WorksheetTool to delete a worksheet from the workbook.
Get Chart AxisTool to retrieve a specific axis from a chart.
Get Chart Data LabelsTool to retrieve the data labels object of a chart.
Get Chart LegendTool to retrieve the legend object of a chart.
Get RangeGet a range from a worksheet using microsoft graph api.
Create Excel SessionCreate a session for an excel workbook using microsoft graph api.
Get SharePoint RangeGet a range from a worksheet in sharepoint using microsoft graph sites api.
Get SharePoint WorksheetGet a worksheet by name or id from a sharepoint excel workbook using microsoft graph sites api.
Get Table ColumnTool to retrieve a specific column from a workbook table.
Get workbookTool to retrieve the properties and relationships of a workbook.
Get WorksheetGet a worksheet by name or id from an excel workbook using microsoft graph api.
Insert RangeTool to insert a new cell range into a worksheet, shifting existing cells down or right.
List ChartsList charts in a worksheet using microsoft graph api.
List Chart SeriesTool to list all data series in a chart.
List CommentsTool to list comments in an excel workbook.
List Drive FilesList files and folders in a drive root or specified path.
List Named ItemsList named items in a workbook using microsoft graph api.
List SharePoint TablesList tables in a sharepoint worksheet using microsoft graph sites api.
List SharePoint WorksheetsList worksheets in an excel workbook stored in sharepoint using microsoft graph sites api.
List Table ColumnsList columns in a table using microsoft graph api.
List Table RowsList rows in a table using microsoft graph api.
List TablesList tables in a worksheet using microsoft graph api.
List Workbook PermissionsTool to list permissions set on the workbook file.
List WorksheetsList worksheets in an excel workbook using microsoft graph api.
Merge CellsMerge cells in a worksheet range using microsoft graph api.
Protect WorksheetTool to protect a worksheet using optional protection options.
Sort RangeSort a range in a worksheet using microsoft graph api.
Update ChartUpdate a chart in a worksheet using microsoft graph api.
Update Chart LegendTool to update formatting or position of a chart legend.
Update RangeUpdate a range in a worksheet using microsoft graph api.
Update SharePoint RangeUpdate a range in a sharepoint worksheet using microsoft graph sites api.
Update TableUpdate a table in a workbook using microsoft graph api.
Update WorksheetUpdate worksheet properties (name, position) in an excel workbook using microsoft graph api.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Excel project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

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.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
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.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Excel Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["excel"]
)

mcp_url = 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.

Configure the agent

# Configure agent with MCP tool
agent = 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(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "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 dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Excel operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
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 Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Excel and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["excel"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = 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(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

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.

How to build Excel MCP Agent with another framework

Claude Agent SDK

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CrewAI

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FAQ

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

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.

Can I use Tool Router MCP with OpenAI Agents SDK?

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.

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

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.

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 Excel data and credentials are handled as safely as possible.

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

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