# How to integrate Excel MCP with LangChain

```json
{
  "title": "How to integrate Excel MCP with LangChain",
  "toolkit": "Excel",
  "toolkit_slug": "excel",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/excel/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/excel/framework/langchain.md",
  "updated_at": "2026-05-12T10:10:57.727Z"
}
```

## Introduction

This guide walks you through connecting Excel to LangChain 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 LangChain 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.

## Also integrate Excel with

- [ChatGPT](https://composio.dev/toolkits/excel/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/excel/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/excel/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/excel/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/excel/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/excel/framework/codex)
- [Cursor](https://composio.dev/toolkits/excel/framework/cursor)
- [VS Code](https://composio.dev/toolkits/excel/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/excel/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/excel/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/excel/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/excel/framework/cli)
- [Google ADK](https://composio.dev/toolkits/excel/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/excel/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/excel/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/excel/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/excel/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Excel project to Composio
- Create a Tool Router MCP session for Excel
- Initialize an MCP client and retrieve Excel tools
- Build a LangChain agent that can interact with Excel
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

| Tool slug | Name | Description |
|---|---|---|
| `EXCEL_ADD_CHART` | Add Chart | Add a chart to a worksheet using Microsoft Graph API. |
| `EXCEL_ADD_SHAREPOINT_WORKSHEET` | Add SharePoint Worksheet | Add a new worksheet to a SharePoint Excel workbook using Microsoft Graph Sites API. |
| `EXCEL_ADD_TABLE` | Add Table | Create a new table in a worksheet using the Microsoft Graph API. |
| `EXCEL_ADD_TABLE_COLUMN` | Add Table Column | Add a column to a table using Microsoft Graph API. |
| `EXCEL_ADD_TABLE_ROW` | Add Table Row | Add a row to a table using Microsoft Graph API. |
| `EXCEL_ADD_WORKBOOK_PERMISSION` | Add Workbook Permission | Tool to grant access to a workbook via invite. Use when you need to share a specific workbook file with designated recipients and roles. |
| `EXCEL_ADD_WORKSHEET` | Add Worksheet | Add a new worksheet to an Excel workbook using Microsoft Graph API. |
| `EXCEL_APPLY_TABLE_FILTER` | Apply Table Filter | Apply a filter to a table column using Microsoft Graph API. |
| `EXCEL_APPLY_TABLE_SORT` | Apply Table Sort | Apply a sort to a table using Microsoft Graph API. |
| `EXCEL_CLEAR_RANGE` | Clear Range | Tool to clear values, formats, or contents in a specified worksheet range. Use when you need to reset cells before adding new data. |
| `EXCEL_CLEAR_TABLE_FILTER` | Clear Table Filter | Clear a filter from a table column using Microsoft Graph API. |
| `EXCEL_CLOSE_SESSION` | Close Excel Session | Tool to close an existing Excel workbook session. Use when you need to explicitly end a persistent session to release workbook locks. Note: The Microsoft Graph closeSession API is idempotent - it returns 204 for both active and already-closed sessions. This action validates the session first and returns an error for invalid or already-closed sessions to provide clearer user feedback. The validation uses refreshSession which is the only API endpoint that can detect closed sessions. |
| `EXCEL_CONVERT_TABLE_TO_RANGE` | Convert Table To Range | Convert a table to a range using Microsoft Graph API. |
| `EXCEL_CREATE_WORKBOOK` | Create Workbook | Tool to create a new Excel workbook file at a specified drive path. Generates a new .xlsx file with specified worksheets and data, then uploads it to OneDrive. |
| `EXCEL_DELETE_TABLE_COLUMN` | Delete Table Column | Delete a column from a table using Microsoft Graph API. |
| `EXCEL_DELETE_TABLE_ROW` | Delete Table Row | Delete a row from a table using Microsoft Graph API. |
| `EXCEL_DELETE_WORKSHEET` | Delete Worksheet | Tool to delete a worksheet from the workbook. Use when cleaning up unused or temporary sheets after verifying no dependencies exist. Example: "Delete 'Sheet2' after review." |
| `EXCEL_EXPORT_WORKBOOK_TO_PDF` | Export Workbook to PDF | Tool to export an Excel workbook to PDF via Microsoft Graph's format conversion. Use when you need a PDF version of an Excel file for sending, storing, or attaching. |
| `EXCEL_GET_CHART_AXIS` | Get Chart Axis | Tool to retrieve a specific axis from a chart. Use when you need properties like min, max, interval, and formatting of the chart axis. |
| `EXCEL_GET_CHART_DATA_LABELS` | Get Chart Data Labels | Tool to retrieve the data labels object of a chart. Use when you need to inspect label settings like position, separator, and visibility flags after creating or updating a chart. |
| `EXCEL_GET_CHART_LEGEND` | Get Chart Legend | Tool to retrieve the legend object of a chart. Use after creating or updating a chart when you need to inspect legend visibility and formatting. |
| `EXCEL_GET_RANGE` | Get Range | Get a range from a worksheet using Microsoft Graph API. |
| `EXCEL_GET_SESSION` | Create Excel Session | Create a session for an Excel workbook using Microsoft Graph API. |
| `EXCEL_GET_SHAREPOINT_RANGE` | Get SharePoint Range | Get a range from a worksheet in SharePoint using Microsoft Graph Sites API. |
| `EXCEL_GET_SHAREPOINT_WORKSHEET` | Get SharePoint Worksheet | Get a worksheet by name or ID from a SharePoint Excel workbook using Microsoft Graph Sites API. |
| `EXCEL_GET_TABLE_COLUMN` | Get table column | Tool to retrieve a specific column from a workbook table. Use when you need to fetch column properties and data by its ID or name. |
| `EXCEL_GET_WORKBOOK` | Get workbook | Tool to retrieve the properties and relationships of a workbook. Use when you need to inspect comments, names, tables, or worksheets. |
| `EXCEL_GET_WORKSHEET` | Get Worksheet | Get a worksheet by name or ID from an Excel workbook using Microsoft Graph API. |
| `EXCEL_GET_WORKSHEET_USED_RANGE` | Get Worksheet Used Range | Tool to retrieve a worksheet's used range (active data region) without specifying a fixed range address. Use when you need to read all data from a sheet but don't know the exact range. The valuesOnly option helps filter out formatting-only cells. |
| `EXCEL_INSERT_RANGE` | Insert Range | Tool to insert a new cell range into a worksheet, shifting existing cells down or right. Use when you need to create space for new content without overwriting. |
| `EXCEL_LIST_CHARTS` | List Charts | List charts in a worksheet using Microsoft Graph API. |
| `EXCEL_LIST_CHART_SERIES` | List Chart Series | Tool to list all data series in a chart. Use when you need to enumerate chart series for further analysis. |
| `EXCEL_LIST_COMMENTS` | List Comments | Tool to list comments in an Excel workbook. Use when you need to retrieve all workbook comments via Microsoft Graph API. |
| `EXCEL_LIST_DRIVE_ITEM_CHILDREN` | List Drive Item Children | Tool to list immediate children (files/folders) of a folder DriveItem using driveId and itemId. Returns an array of child DriveItems with stable identifiers and pagination support. |
| `EXCEL_LIST_FILES` | List Drive Files | List files and folders in a drive root or specified path. |
| `EXCEL_LIST_NAMED_ITEMS` | List Named Items | List named items in a workbook using Microsoft Graph API. |
| `EXCEL_LIST_SHAREPOINT_TABLES` | List SharePoint Tables | List tables in a SharePoint worksheet using Microsoft Graph Sites API. |
| `EXCEL_LIST_SHAREPOINT_WORKSHEETS` | List SharePoint Worksheets | List worksheets in an Excel workbook stored in SharePoint using Microsoft Graph Sites API. |
| `EXCEL_LIST_TABLE_COLUMNS` | List Table Columns | List columns in a table using Microsoft Graph API. |
| `EXCEL_LIST_TABLE_ROWS` | List Table Rows | List rows in a table using Microsoft Graph API. |
| `EXCEL_LIST_TABLES` | List Tables | List tables in a worksheet using Microsoft Graph API. This action retrieves information about all tables present in a specified worksheet of an Excel file. It requires the file ID and worksheet name or ID, and can optionally use a session ID for workbook operations. |
| `EXCEL_LIST_WORKBOOK_PERMISSIONS` | List Workbook Permissions | Tool to list permissions set on the workbook file. Use when you need to see which users or links have access to a specific Excel file by supplying its drive and item IDs. Example: "List permissions for workbook with drive_id 'b!abc123' and item_id '0123456789abcdef'." |
| `EXCEL_LIST_WORKSHEETS` | List Worksheets | List worksheets in an Excel workbook using Microsoft Graph API. |
| `EXCEL_MERGE_CELLS` | Merge Cells | Merge cells in a worksheet range using Microsoft Graph API. |
| `EXCEL_PROTECT_WORKSHEET` | Protect Worksheet | Tool to protect a worksheet using optional protection options. Use when you need to prevent editing certain parts of a sheet before sharing. Example: "Protect 'Sheet1' to lock formatting and sorting." |
| `EXCEL_SEARCH_FILES` | Search Drive Files | Tool to search OneDrive drive items by query to discover Excel workbook IDs. Use when you need to find Excel files by name before performing workbook operations. |
| `EXCEL_SORT_RANGE` | Sort Range | Sort a range in a worksheet using Microsoft Graph API. |
| `EXCEL_UPDATE_CHART` | Update Chart | Update a chart in a worksheet using Microsoft Graph API. |
| `EXCEL_UPDATE_CHART_LEGEND` | Update Chart Legend | Tool to update formatting or position of a chart legend. Use when adjusting legend settings after confirming chart and worksheet exist. |
| `EXCEL_UPDATE_RANGE` | Update Range | Update a range in a worksheet using Microsoft Graph API. |
| `EXCEL_UPDATE_SHAREPOINT_RANGE` | Update SharePoint Range | Update a range in a SharePoint worksheet using Microsoft Graph Sites API. |
| `EXCEL_UPDATE_TABLE` | Update Table | Update a table in a workbook using Microsoft Graph API. |
| `EXCEL_UPDATE_WORKSHEET` | Update Worksheet | Update worksheet properties (name, position) in an Excel workbook using Microsoft Graph API. |
| `EXCEL_UPLOAD_WORKBOOK` | Upload Workbook from URL | Tool to upload an external Excel file from a URL into OneDrive/SharePoint. Downloads the file server-side and uploads it to the specified drive location, returning the driveItem metadata for subsequent Excel operations. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Excel MCP server is an implementation of the Model Context Protocol that connects your AI agent to Excel. It provides structured and secure access so your agent can perform Excel operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Excel tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Excel 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
- This approach allows the agent to dynamically load and use Excel tools as needed
```python
# Create Tool Router session for Excel
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['excel']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['excel']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "excel-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "excel-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Excel related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Excel related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['excel']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "excel-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Excel related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['excel']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "excel-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Excel related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Excel through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Excel MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/excel/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/excel/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/excel/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/excel/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/excel/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/excel/framework/codex)
- [Cursor](https://composio.dev/toolkits/excel/framework/cursor)
- [VS Code](https://composio.dev/toolkits/excel/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/excel/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/excel/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/excel/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/excel/framework/cli)
- [Google ADK](https://composio.dev/toolkits/excel/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/excel/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/excel/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/excel/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/excel/framework/crew-ai)

## Related Toolkits

- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### 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 LangChain?

Yes, you can. LangChain 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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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)