Integrates with the Steam API to provide user gaming information to AI assistants via the Model Context Protocol.
Integrates with the Steam API to provide user gaming information to AI assistants via the Model Context Protocol.
A Model Context Protocol (MCP) server that provides Steam gaming context to AI assistants. This service integrates with the Steam API to fetch user gaming information and exposes it through the MCP protocol, allowing AI assistants to access and understand users' gaming activities and preferences.
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{
"mcpServers": {
"steam-context": {
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/dsp/mcp-server-steam"],
"env": {
"STEAM_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| STEAM_API_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Software design skills for AI coding agents, inspired by A Philosophy of Software Design.
Compile application code into a runnable Model Context Protocol (MCP) server — and auto-register it with Codex, Claude, and VS Code.
This project, lucide-react-mcp, is a Model Context Protocol (MCP) server built with Bun and the MCP TypeScript SDK. It exposes Lucide React icons as
The `.raigo` format is the open-source contribution. It is free to use, implement, extend, and build on. Anyone can write a `.raigo` file, build a