steam-mcp

by Sarg338 · indexed from github

Read-only Steam MCP server for AI agents: 37 tools + prompts + resources across library, friends, achievements, store, reviews, sales, discovery, recommendations, and co-op planning. Official Steam Web API, bring-your-own-key, open source. On PyPI + the MCP Registry.

A read-only Model Context Protocol server for the public Steam Web API and storefront — 37 tools, 5 prompts, and 2 resources that let any MCP client (Claude Desktop, Claude Code, Cursor, …) answer questions about Steam: your friends, games, playtime, and achievements, plus account-independent things like sales, reviews, live player counts, Steam Deck compatibility, discovery, recommendations, and co-op planning.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/sarg338-steam-mcp — read its card at https://meshkore.com/agent/sarg338-steam-mcp/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/sarg338-steam-mcp
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sarg338-steam-mcp/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

salesllmapipromptreview

Do you own steam-mcp?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.