How to integrate RAWG Video Games Database MCP with LangChain

This guide walks you through connecting RAWG Video Games Database to LangChain using the Composio tool router. By the end, you'll have a working RAWG Video Games Database agent that can find top-rated rpg games released in 2023, list upcoming indie games for switch, get detailed info for elden ring through natural language commands. This guide will help you understand how to give your LangChain agent real control over a RAWG Video Games Database account through Composio's RAWG Video Games Database MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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RAWG Video Games Database is the largest video game discovery and info service. Instantly access comprehensive details, ratings, and release dates for thousands of games.

27 Tools

Introduction

This guide walks you through connecting RAWG Video Games Database to LangChain using the Composio tool router. By the end, you'll have a working RAWG Video Games Database agent that can find top-rated rpg games released in 2023, list upcoming indie games for switch, get detailed info for elden ring through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a RAWG Video Games Database account through Composio's RAWG Video Games Database MCP server.

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

Also integrate RAWG Video Games Database with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

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

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

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

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

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

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

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

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
5

Import dependencies

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();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with RAWG Video Games Database functionality through MCP
6

Initialize Composio client

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()
    });
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 RAWG Video Games Database tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to RAWG Video Games Database 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 RAWG Video Games Database tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "rawg_video_games_database-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 });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our RAWG Video Games Database MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available RAWG Video Games Database tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any RAWG Video Games Database 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);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with RAWG Video Games Database and LangChain:

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: ['rawg_video_games_database']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "rawg_video_games_database-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 RAWG Video Games Database 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 RAWG Video Games Database 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.
TOOLS

Supported Tools

Every RAWG Video Games Database action and event your agent gets out of the box.

Get Creator Roles List

Tool to get a list of creator positions (jobs) in the gaming industry.

List Game Creators

Tool to get a list of game creators from the RAWG database.

Get Creator Details

Tool to get details of a specific creator.

List Game Developers

Tool to get a list of game developers from the RAWG database.

Get Developer Details

Tool to get details of a specific developer from the RAWG database.

Get Game Achievements

Tool to get a list of achievements for a specific game.

Get Game Additions List

Tool to get a list of DLCs, GOTY editions, companion apps, and other additions for a game.

Get Game Development Team List

Tool to get a list of individual creators from the development team of a specific game.

Get Game Series List

Tool to get a list of games that are part of the same series.

List Games

Tool to get a list of games from RAWG database.

Get Game Trailers

Tool to get a list of game trailers and gameplay clips from the RAWG database.

Get Parent Games List

Tool to get a list of parent games for DLCs and editions.

Get Game Details

Tool to get comprehensive details of a specific game.

Get Game Reddit Posts

Tool to get a list of most recent posts from a game's subreddit.

Get Game Screenshots

Tool to get screenshots for a specific game from the RAWG database.

Get Game Store Links

Tool to get links to stores that sell a specific game.

List Video Game Genres

Tool to get a list of video game genres from RAWG database.

Get Genre Details

Tool to get details of a specific video game genre.

List Video Game Platforms

Tool to get a list of video game platforms from RAWG database.

List Parent Platforms

Tool to get a list of parent platforms from RAWG database.

Get Platform Details

Tool to get details of a specific gaming platform from the RAWG database.

List Video Game Publishers

Tool to get a list of video game publishers from the RAWG database.

Get Publisher Details

Tool to get details of a specific publisher from the RAWG database.

List Video Game Stores

Tool to get a list of video game storefronts.

Get Store Details

Tool to get details of a specific video game store.

List Tags

Tool to get a list of tags from the RAWG database.

Get Tag Details

Tool to get details of a specific tag from the RAWG database.

FRAMEWORKS

How to build RAWG Video Games Database MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use RAWG Video Games Database MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use RAWG Video Games Database MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use RAWG Video Games Database MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use RAWG Video Games Database MCP with Claude Cowork

Codex logo

Codex

Use RAWG Video Games Database MCP with Codex

OpenClaw logo

OpenClaw

Use RAWG Video Games Database MCP with OpenClaw

Hermes logo

Hermes

Use RAWG Video Games Database MCP with Hermes

CLI logo

CLI

Use RAWG Video Games Database MCP with CLI

Google ADK logo

Google ADK

Use RAWG Video Games Database MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use RAWG Video Games Database MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use RAWG Video Games Database MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use RAWG Video Games Database MCP with LlamaIndex

CrewAI logo

CrewAI

Use RAWG Video Games Database MCP with CrewAI

FAQ

Frequently asked questions

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

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 RAWG Video Games Database tools.

Yes, absolutely. You can configure which RAWG Video Games Database scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your RAWG Video Games Database data and credentials are handled as safely as possible.

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