OpenDota MCP Server
Access real-time Dota 2 statistics, match data, and player information from the OpenDota API.
OpenDota MCP Server
A Model Context Protocol (MCP) server implementation for accessing OpenDota API data. This server enables LLMs and AI assistants to retrieve real-time Dota 2 statistics, match data, player information, and more through a standard interface.
Features
- Access player profiles, statistics, and match history
- Retrieve detailed match information
- Look up professional players and teams
- Get hero statistics and rankings
- Search for players by name
- And more!
Installation
Installing via Smithery
To install OpenDota API Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @asusevski/opendota-mcp-server --client claude
Manual Installation
# Clone the repository
git clone https://github.com/asusevski/opendota-mcp-server.git
cd opendota-mcp-server
# Option 1: Automated setup (works with bash, zsh, and other shells)
./scripts/setup_env.sh
# Option 2: Manual installation with uv
uv add pyproject.toml
# For development dependencies
uv pip install -e ".[dev]"
Usage
Setting up your environment
- (Optional but recommended) Create an OpenDota API key at https://www.opendota.com/api-keys
- Set your API key as an environment variable:
export OPENDOTA_API_KEY=your_api_key_here
Running the server directly
python -m src.opendota_server.server
Running the server with Claude Desktop
Follow this: https://modelcontextprotocol.io/quickstart/user
If you use WSL, assuming you have cloned the repo and set up the python environment, this is how I wrote the claude_desktop_config.json:
{
"mcpServers": {
"opendota": {
"command": "wsl.exe",
"args": [
"--",
"bash",
"-c",
"cd ~/opendota-mcp-server && source .venv/bin/activate && python src/opendota_server/server.py"
]
}
}
}
Using the example client
python -m src.client
Specific tools included:
- get_player_by_id - Retrieve player information by account ID
- get_player_recent_matches - Get recent matches for a player
- get_match_data - Get detailed data for a specific match
- get_player_win_loss - Get win/loss statistics for a player
- get_player_heroes - Get a player's most played heroes
- get_hero_stats - Get statistics for heroes
- search_player - Search for players by name
- get_pro_players - Get list of professional players
- get_pro_matches - Get recent professional matches
- get_player_peers - Get players who have played with a specified player
- get_heroes - Get list of all Dota 2 heroes
- get_player_totals - Get player's overall stats totals
- get_player_rankings - Get player hero rankings
- get_player_wordcloud - Get most common words used by player in chat
- get_team_info - Get information about a team
- get_public_matches - Get recent public matches
- get_match_heroes - Get heroes played in a specific match
Security
License
MIT
Related Servers
Gumroad
Interact with the Gumroad API to access and manage your products, sales, and creator data.
Google Campaign Manager 360 by CData
A read-only MCP server for Google Campaign Manager 360, powered by the CData JDBC Driver.
Netlify
Create, build, deploy, and manage Netlify resources using natural language.
MCP Riot Server
Integrates with the Riot Games API to provide League of Legends data to AI assistants.
Heroku Platform
Interact with Heroku Platform resources securely using the Heroku CLI. Requires the Heroku CLI and a valid API key.
Remote MCP Server on Cloudflare
A remote MCP server that runs on Cloudflare Workers and supports OAuth login.
MCP Firebase Server
Connects Large Language Models to Firebase Firestore and Storage via the Model Context Protocol.
Brain MCP
An example MCP server deployed on Cloudflare Workers, without authentication.
Minibridge
A backend-to-frontend bridge that securely exposes MCP servers to the internet, supporting agent authentication, content analysis, transformation, and telemetry.
Vertex AI MCP Server
Interact with Google Cloud's Vertex AI Gemini models for coding assistance and general query answering.
