# How to integrate Planyo Online Booking MCP with LangChain

```json
{
  "title": "How to integrate Planyo Online Booking MCP with LangChain",
  "toolkit": "Planyo Online Booking",
  "toolkit_slug": "planyo_online_booking",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/planyo_online_booking/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/planyo_online_booking/framework/langchain.md",
  "updated_at": "2026-03-29T06:45:54.430Z"
}
```

## Introduction

This guide walks you through connecting Planyo Online Booking to LangChain using the Composio tool router. By the end, you'll have a working Planyo Online Booking agent that can check available slots for next week, create a new reservation for a client, cancel an existing booking by id through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Planyo Online Booking account through Composio's Planyo Online Booking MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Planyo Online Booking with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Planyo Online Booking project to Composio
- Create a Tool Router MCP session for Planyo Online Booking
- Initialize an MCP client and retrieve Planyo Online Booking tools
- Build a LangChain agent that can interact with Planyo Online Booking
- 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 Planyo Online Booking MCP server, and what's possible with it?

The Planyo Online Booking MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Planyo Online Booking account. It provides structured and secure access so your agent can perform Planyo Online Booking operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PLANYO_ONLINE_BOOKING_ADD_RESERVATION` | Add Reservation | Tool to create a new reservation. Use after gathering resource, timing, and customer details. |
| `PLANYO_ONLINE_BOOKING_ADD_USER` | Add User | Tool to add a new user in Planyo. Use when you need to create a user account after gathering user details. |
| `PLANYO_ONLINE_BOOKING_GET_ADDON_LIST` | Get Add-on List | Tool to retrieve a list of add-ons. Use when you need to inspect or manage add-ons for a specific resource or across the entire site after setting up credentials. |
| `PLANYO_ONLINE_BOOKING_GET_COUPON_LIST` | Get Coupon List | Tool to retrieve a list of coupons. Use when you need to fetch all coupons for a specific resource or the entire site (if no resource_id provided). |
| `PLANYO_ONLINE_BOOKING_GET_RESOURCE_AVAILABILITY` | Get Resource Availability | Tool to check resource availability within a specified date/time range. Use when validating if a resource can be reserved before creating a reservation. |
| `PLANYO_ONLINE_BOOKING_GET_RESOURCE_BLACKOUTS` | Get Resource Blackouts | Tool to fetch blackout periods for a resource. Use when determining unavailable timeslots before booking. |
| `PLANYO_ONLINE_BOOKING_GET_RESOURCE_REVIEWS` | Get Resource Reviews | Tool to fetch reviews and ratings for a specific resource. Use when you have a resource_id and need to display customer feedback. |

## Supported Triggers

None listed.

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

The Planyo Online Booking MCP server is an implementation of the Model Context Protocol that connects your AI agent to Planyo Online Booking. It provides structured and secure access so your agent can perform Planyo Online Booking 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 Planyo Online Booking 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 Planyo Online Booking 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 Planyo Online Booking tools as needed
```python
# Create Tool Router session for Planyo Online Booking
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['planyo_online_booking']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "planyo_online_booking-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({
    "planyo_online_booking-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 Planyo Online Booking 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 Planyo Online Booking 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=['planyo_online_booking']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "planyo_online_booking-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 Planyo Online Booking 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: ['planyo_online_booking']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "planyo_online_booking-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 Planyo Online Booking 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 Planyo Online Booking 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 Planyo Online Booking MCP Agent with another framework

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

## Related Toolkits

- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [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.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management.
- [Appointo](https://composio.dev/toolkits/appointo) - Appointo is an appointment booking platform for Shopify stores. It lets businesses add online scheduling to their websites with zero coding.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Bart](https://composio.dev/toolkits/bart) - Bart is the Bay Area Rapid Transit system, providing fast public transportation across the San Francisco Bay Area. It helps commuters and travelers get real-time schedule info, plan routes, and stay updated on service changes.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website.
- [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Planyo Online Booking MCP?

With a standalone Planyo Online Booking MCP server, the agents and LLMs can only access a fixed set of Planyo Online Booking tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Planyo Online Booking 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 Planyo Online Booking tools.

### Can I manage the permissions and scopes for Planyo Online Booking while using Tool Router?

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

---
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