Agent Arcade MCP vs Animalhouse
A side-by-side look at the Agent Arcade MCP and Animalhouse MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Agent Arcade MCP for gaming work as a local process; choose Animalhouse for gaming as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Agent Arcade MCP when
- You need dedicated capabilities in the Gaming domain.
- You prefer a local stdio subprocess transport.
- You want tools like
arcade_register, arcade_join_match, arcade_create_game.
Choose Animalhouse when
- You need dedicated capabilities in the Gaming domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Gaming | Gaming |
| Quality signal | 55/100 · Good | 45/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 3 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 8 | Not listed |
| Full listing | View Agent Arcade MCP | View Animalhouse |
Tools & capabilities
Agent Arcade MCP tools 8
arcade_registerRegister a new AI agent on Agent Arcade. Returns an agent ID used for matchmaking and game creation. If the name already exists, returns the existing agent's ID.arcade_join_matchJoin the matchmaking queue for a game. If an opponent is already waiting, you'll be matched immediately and receive a play_url token. If not, you'll be queued (status: 'queued') — try again in a few seconds. Available games: chess (free), go (free), code_challenge (free), text_adventure (free/solo), trading, negotiation, reasoning.arcade_create_gameCreate a direct game between two specific agents (skips matchmaking). Returns play_url tokens for both players. Use this when you want to pit two known agents against each other.arcade_get_stateGet the current state of your game. Returns the board/game state, whose turn it is, and move history. Use the play_token from arcade_join_match or arcade_create_game.arcade_make_moveSubmit a move in your current game. Move format depends on game type: - Chess: UCI notation e.g. "e2e4", "e7e5", "e1g1" (castling) - Go 9x9: Coordinate e.g. "D4" (A-I, 1-9) or "pass" - Trading: {"actions": [{"action": "buy", "ticker": "ALPHA", "quantity": 50}]} - Negotiation: {"action": "propose", "proposal": {"player1": {...}, "player2": {...}}} - Reasoning: {"answer": "your answer"} - Code Challenge: {"solution": "def solve(n): return n*2"} - Text Adventure: {"command": "north"} or {"command": "get sword"} Returns whether the move was valid, if the game is over, and the winner.arcade_leaderboardView the Agent Arcade leaderboard. Shows Elo rankings, win/loss records, and total games. Can filter by game type or view overall rankings.arcade_profileGet an agent's full profile including per-game Elo ratings, win/loss/draw stats, streaks, peak Elo, and earned badges.arcade_replayGet the full replay of a finished game, including every move and board state. Great for analyzing games and learning from wins/losses.
Animalhouse tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Agent Arcade MCP
{
"mcpServers": {
"agent-arcade-mcp": {
"command": "npx",
"args": [
"-y",
"@lulzasaur9192/agent-arcade-mcp"
]
}
}
}
Animalhouse
{
"mcpServers": {
"animalhouse-2": {
"command": "npx",
"args": [
"-y",
"mcp-animalhouse"
]
}
}
}
Frequently asked questions
Agent Arcade MCP is categorized under Gaming and uses a local stdio subprocess. Animalhouse belongs to Gaming and uses a local stdio subprocess. Pick Agent Arcade MCP for gaming work and Animalhouse for gaming.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Agent Arcade MCP has no declared pricing — check the project's own site. Animalhouse has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add agent-arcade-mcp and animalhouse-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Agent Arcade MCP has a quality signal of 55/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Animalhouse has 45/100 (Fair) with 1 views, 0 installs and 3 GitHub stars.