# How to integrate Agiled MCP with LangChain

```json
{
  "title": "How to integrate Agiled MCP with LangChain",
  "toolkit": "Agiled",
  "toolkit_slug": "agiled",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/agiled/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/agiled/framework/langchain.md",
  "updated_at": "2026-05-12T10:00:31.417Z"
}
```

## Introduction

This guide walks you through connecting Agiled to LangChain using the Composio tool router. By the end, you'll have a working Agiled agent that can create a new project for client onboarding, list all active deals for this month, add a business expense from yesterday through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Agiled account through Composio's Agiled MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Agiled with

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

## TL;DR

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

The Agiled MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Agiled account. It provides structured and secure access to your CRM, project management, finance, and support tools, so your agent can perform actions like creating tasks, managing expenses, retrieving contacts, and handling support tickets on your behalf.
- Project and task automation: Instantly create new projects or tasks, assign them to team members, set due dates, and update project boards—all through your agent.
- Expense and estimate management: Let your agent create new expense records, fetch all expenses, or retrieve estimates for up-to-date financial tracking without manual data entry.
- CRM and contact retrieval: Effortlessly pull up all your contacts or deals, making it easy for your agent to surface leads, customers, or CRM reports when you need them.
- Support ticket creation: Enable your agent to open new support tickets, capture customer issues, and track priority items directly in Agiled.
- Employee directory access: Quickly fetch employee lists for team coordination, assignment, or HR workflows, ensuring your agent always has current organizational info.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `AGILED_CREATE_EXPENSE` | Create Expense | Tool to create a new expense in Agiled. Use after gathering expense details and authenticating with your API key. |
| `AGILED_CREATE_PROJECT` | Create Project | Tool to create a new project in Agiled. Use when you have collected all project details and need to set up the project before assigning tasks. Example: "Create a new project named Website Redesign with start date 2023-09-01 and status in progress." |
| `AGILED_CREATE_TASK` | Create Task | Tool to create a new task in Agiled. Use when you have all task details and want to add it to your project board. Example: "Create a task titled 'Draft specs' for project 45, assigned to user 7, priority normal, due date 2025-11-05." |
| `AGILED_CREATE_TICKET` | Create Ticket | Tool to create a new support ticket in Agiled. Use after gathering all required ticket details (subject, message, priority, user ID). |
| `AGILED_GET_CONTACTS` | Get Contacts | Tool to retrieve a list of all contacts. Use after configuring the API key to fetch contacts with optional pagination or search filters. |
| `AGILED_GET_CURRENCIES` | Get Currencies | Tool to list currencies. Use when you need to fetch available currency options after authentication. |
| `AGILED_GET_DEALS` | Get Deals | Tool to retrieve a list of all deals. Use after confirming your API key to list all deals for CRM reporting. |
| `AGILED_GET_EMPLOYEES` | Get Employees | Tool to retrieve a list of all employees. Use when you need up-to-date employee directory from Agiled. |
| `AGILED_GET_ESTIMATES` | Get Estimates | Tool to retrieve a list of all estimates. Use after configuring the API key to list estimates for reporting. |
| `AGILED_GET_EXPENSES` | Get Expenses | Tool to retrieve a list of all expenses. Use after authenticating with your Agiled API key to fetch all expense records. |
| `AGILED_GET_INVOICES` | Get Invoices | Tool to retrieve a list of all invoices from Agiled. Use after obtaining valid API credentials. |
| `AGILED_GET_PRODUCTS` | Get Products | Tool to retrieve a list of all products. Use when you need to display all available offerings. |
| `AGILED_GET_PROJECT_CATEGORIES` | Get Project Categories | Tool to retrieve a list of all project categories. Use when you need to fetch category options before creating or filtering projects after authentication. |
| `AGILED_GET_PROJECTS` | Get Projects | Tool to retrieve a list of all projects. Use after obtaining the API token. |
| `AGILED_GET_TASKS` | GET_TASKS | Tool to retrieve a list of all tasks. Use when you need to fetch all tasks across your account after authentication. |
| `AGILED_GET_TICKETS` | Get Tickets | Tool to retrieve a list of all tickets. Use after obtaining API token when you need an overview of support or issue tickets. |
| `AGILED_GET_TIMESHEETS` | Get Timesheets | Tool to retrieve timesheets for a project. Use when you have a valid project ID to fetch all its time logs. |
| `AGILED_GET_USERS` | Get Users | Tool to retrieve a list of users from Agiled. Use when you need the full user directory for selection or validation. |

## Supported Triggers

None listed.

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

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

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "agiled-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({
    "agiled-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 Agiled 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 Agiled 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=['agiled']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "agiled-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 Agiled 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: ['agiled']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "agiled-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 Agiled 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 Agiled 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 Agiled MCP Agent with another framework

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

## Related Toolkits

- [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.
- [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.
- [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.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Agiled MCP?

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

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)