How to integrate RAWG Video Games Database MCP with CrewAI

This guide walks you through connecting RAWG Video Games Database to CrewAI 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 CrewAI 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 CrewAI 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 CrewAI 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 ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your RAWG Video Games Database connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for RAWG Video Games Database
  • Build a conversational loop where your agent can execute RAWG Video Games Database operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A RAWG Video Games Database connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to RAWG Video Games Database via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived RAWG Video Games Database MCP URL
6

Create a Composio Tool Router session for RAWG Video Games Database

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["rawg_video_games_database"])

url = session.mcp.url
What's happening:
  • You create a RAWG Video Games Database only session through Composio
  • Composio returns an MCP HTTP URL that exposes RAWG Video Games Database tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

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

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["rawg_video_games_database"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to RAWG Video Games Database through Composio's Tool Router. The agent can perform RAWG Video Games Database operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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

LangChain logo

LangChain

Use RAWG Video Games Database MCP with LangChain

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

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. CrewAI 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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