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Gessa: game asset generation for AI agents MCP Server

by gessa Your server? Claim it
answering

Gessa: game asset generation for AI agents is answering right now. Last checked 3 min ago. 50 installs a week from npm.

Generate game-ready 3D models, textures, and audio from natural language, over MCP.

Installs per day peak 405 · avg 28 · +6% w/w
a month agotoday
Uptime history 25 days of history · worst day 87%
25 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
707 ms
Response time
average over 24h
50
Installs / week
npm and PyPI

Gessa: game asset generation for AI agents missed 3 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add mcp-server --transport http https://api.gessa.ai/mcp/rpc
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server]
url = "https://api.gessa.ai/mcp/rpc"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}

This one needs environment variables set before it will start: GESSA_API_KEY (Gessa MCP API key (mcpkey_...). Mint one anonymously at https://api.gessa.ai/api/agent-onboarding or claim a workspace at create.gessa.ai. Scopes: mcp:read, mcp:write.), GESSA_API_URL (Override the API origin the stdio proxy forwards to. Defaults to https://api.gessa.ai.). The author declared them in the registry entry; get the values from the project itself.

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://api.gessa.ai/mcp/rpc streamable-http sign-in 921 ms 3 min ago

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Gessa: game asset generation for AI agents — questions

Answers built from our own checks of this server.

Why is there no tool list for Gessa: game asset generation for AI agents?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Gessa: game asset generation for AI agents working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 707 ms. The bar chart above shows every period we have measured.
How do I connect Gessa: game asset generation for AI agents?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Gessa: game asset generation for AI agents?
No API key is involved. Gessa: game asset generation for AI agents answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Gessa: game asset generation for AI agents?
It answers our handshake in 707 ms on average, which is faster than 16% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Gessa: game asset generation for AI agents?
The npm package @gessa/mcp-server was installed 50 times in the last week. Week over week that is +6%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.