# How to integrate RAWG Video Games Database MCP with CrewAI

```json
{
  "title": "How to integrate RAWG Video Games Database MCP with CrewAI",
  "toolkit": "RAWG Video Games Database",
  "toolkit_slug": "rawg_video_games_database",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/rawg_video_games_database/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/rawg_video_games_database/framework/crew-ai.md",
  "updated_at": "2026-03-29T06:47:17.350Z"
}
```

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

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `RAWG_VIDEO_GAMES_DATABASE_CREATOR_ROLES_LIST` | Get Creator Roles List | Tool to get a list of creator positions (jobs) in the gaming industry. Use when you need to browse available creator roles or positions. |
| `RAWG_VIDEO_GAMES_DATABASE_CREATORS_LIST` | List Game Creators | Tool to get a list of game creators from the RAWG database. Use when you need to browse available creators or find specific game developers, designers, or other gaming industry professionals. Supports pagination via page and page_size parameters. |
| `RAWG_VIDEO_GAMES_DATABASE_CREATORS_READ` | Get Creator Details | Tool to get details of a specific creator. Use when you need detailed information about a game creator or person from the RAWG database. |
| `RAWG_VIDEO_GAMES_DATABASE_DEVELOPERS_LIST` | List Game Developers | Tool to get a list of game developers from the RAWG database. Use when you need to browse game developers or filter games by developer. Supports pagination via page and page_size parameters. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_DEVELOPER_DETAILS` | Get Developer Details | Tool to get details of a specific developer from the RAWG database. Use when you need to retrieve information about a game developer by their unique ID. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_ACHIEVEMENTS` | Get Game Achievements | Tool to get a list of achievements for a specific game. Use when you need to retrieve game achievements with names, descriptions, images, and completion percentages. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_ADDITIONS_LIST` | Get Game Additions List | Tool to get a list of DLCs, GOTY editions, companion apps, and other additions for a game. Use when you need to find downloadable content or special editions for a specific game. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_DEVELOPMENT_TEAM_LIST` | Get Game Development Team List | Tool to get a list of individual creators from the development team of a specific game. Use when you need to find out who worked on developing a particular game. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_SERIES_LIST` | Get Game Series List | Tool to get a list of games that are part of the same series. Use when you need to find all games in a franchise or series related to a specific game. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_GAMES` | List Games | Tool to get a list of games from RAWG database. Use when you need to browse, search, or filter games with extensive options including platforms, genres, release dates, ratings, and more. Supports pagination and custom ordering. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_TRAILERS` | Get Game Trailers | Tool to get a list of game trailers and gameplay clips from the RAWG database. Use when you need to retrieve video content for a specific game including preview thumbnails and video URLs at different quality levels. Note that not all games have associated trailer data. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_PARENT_GAMES_LIST` | Get Parent Games List | Tool to get a list of parent games for DLCs and editions. Use when you need to identify the main or base game for a DLC, expansion, or special edition. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_DETAILS` | Get Game Details | Tool to get comprehensive details of a specific game. Use when you need detailed information about a game including ratings, platforms, descriptions, and metadata. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_REDDIT_POSTS` | Get Game Reddit Posts | Tool to get a list of most recent posts from a game's subreddit. Use when you need to retrieve Reddit discussions, community posts, and social media content related to a specific game. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_SCREENSHOTS` | Get Game Screenshots | Tool to get screenshots for a specific game from the RAWG database. Use when you need to retrieve game screenshots with image URLs, dimensions, and visibility status. Supports pagination and custom ordering. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GAME_STORE_LINKS` | Get Game Store Links | Tool to get links to stores that sell a specific game. Use when you need to find where to purchase a game from digital storefronts. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_VIDEO_GAME_GENRES` | List Video Game Genres | Tool to get a list of video game genres from RAWG database. Use when you need to browse available genres or filter games by genre. Supports pagination and custom ordering. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_GENRE_DETAILS` | Get Genre Details | Tool to get details of a specific video game genre. Use when you need information about a particular genre including its name, description, and game count. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_VIDEO_GAME_PLATFORMS` | List Video Game Platforms | Tool to get a list of video game platforms from RAWG database. Use when you need to browse available gaming platforms from PC to mobile. Supports pagination and custom ordering. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_PARENT_PLATFORMS` | List Parent Platforms | Tool to get a list of parent platforms from RAWG database. Use when you need to browse platform families like PlayStation, Xbox, or PC that group related gaming platforms together. For instance, PlayStation groups PS1, PS2, PS3, PS4, and PS5. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_PLATFORM_DETAILS` | Get Platform Details | Tool to get details of a specific gaming platform from the RAWG database. Use when you need information about a particular platform including its name, launch year, and game count. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_VIDEO_GAME_PUBLISHERS` | List Video Game Publishers | Tool to get a list of video game publishers from the RAWG database. Use when you need to browse game publishers or filter games by publisher. Supports pagination via page and page_size parameters. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_PUBLISHER_DETAILS` | Get Publisher Details | Tool to get details of a specific publisher from the RAWG database. Use when you need to retrieve information about a game publisher by their unique ID. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_VIDEO_GAME_STORES` | List Video Game Stores | Tool to get a list of video game storefronts. Use when you need to browse digital distribution services where games can be purchased. Supports pagination and ordering options. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_STORE_DETAILS` | Get Store Details | Tool to get details of a specific video game store. Use when you need information about a particular storefront including its name, domain, and game count. |
| `RAWG_VIDEO_GAMES_DATABASE_LIST_TAGS` | List Tags | Tool to get a list of tags from the RAWG database. Use when you need to browse tags that categorize games by specific characteristics. Supports pagination via page and page_size parameters. |
| `RAWG_VIDEO_GAMES_DATABASE_GET_TAG_DETAILS` | Get Tag Details | Tool to get details of a specific tag from the RAWG database. Use when you need detailed information about a particular tag including its name, games count, and description. |

## Supported Triggers

None listed.

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

The RAWG Video Games Database MCP server is an implementation of the Model Context Protocol that connects your AI agent to RAWG Video Games Database. It provides structured and secure access so your agent can perform RAWG Video Games Database 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

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

### 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

**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
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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
```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")
```

### 5. Create a Composio Tool Router session for RAWG Video Games Database

**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
```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
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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

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

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

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- [Cats](https://composio.dev/toolkits/cats) - Cats is an API with a huge library of cat images, breed data, and cat facts. It makes finding adorable cat photos and trivia effortless for your apps and users.
- [Chatfai](https://composio.dev/toolkits/chatfai) - Chatfai is an AI platform that lets users talk to AI versions of fictional characters from books, movies, and games. It offers an engaging, interactive experience for fans to chat, roleplay, and explore creative dialogues.
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- [Elevenreader](https://composio.dev/toolkits/elevenreader) - Elevenreader is an AI-powered text-to-speech service by ElevenLabs that converts written content into lifelike audio. It enables fast, natural audio generation from any text.
- [Epic games](https://composio.dev/toolkits/epic_games) - Epic Games is a leading video game publisher and digital storefront, known for Fortnite and Unreal Engine. It lets gamers access, manage, and purchase games all in one place.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Giphy](https://composio.dev/toolkits/giphy) - Giphy is the largest online library for searching and sharing GIFs and stickers. Instantly add vibrant animated content to your apps, chats, and workflows.
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- [Imagekit io](https://composio.dev/toolkits/imagekit_io) - ImageKit.io is a cloud-based media management platform for image and video delivery. Instantly optimize, transform, and deliver visuals globally via a lightning-fast CDN.
- [Listennotes](https://composio.dev/toolkits/listennotes) - Listennotes is a powerful podcast search engine with a massive global database. Discover, search, and curate podcasts from around the world in seconds.
- [News api](https://composio.dev/toolkits/news_api) - News api is a REST API for searching and retrieving live news articles from across the web. Instantly access headlines, coverage, and breaking stories from thousands of sources.
- [Seat geek](https://composio.dev/toolkits/seat_geek) - SeatGeek is a live event platform offering APIs for concerts, sports, and theater data. Instantly access events, venues, and performers info for smarter ticketing and discovery.
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- [Spotify](https://composio.dev/toolkits/spotify) - Spotify is a streaming service for music and podcasts with millions of tracks from artists worldwide. Enjoy personalized playlists, recommendations, and seamless listening across all your devices.
- [Ticketmaster](https://composio.dev/toolkits/ticketmaster) - Ticketmaster is a global platform for event discovery, ticket sales, and live entertainment management. Get real-time access to events and streamline ticketing for fans and organizers.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and RAWG Video Games Database MCP?

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.

### Can I use Tool Router MCP with CrewAI?

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.

### Can I manage the permissions and scopes for RAWG Video Games Database while using Tool Router?

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.

### 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 RAWG Video Games Database data and credentials are handled as safely as possible.

---
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