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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 4 min ago. 73 installs a week from npm.

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

Installs per day peak 20 · avg 5 · +204% w/w
a month agotoday
Uptime history 70 days of history · worst day 0%
70 days agonow
94.5%
Uptime 24h
86 of 91 checks
—
Tools
hidden behind auth
460 ms
Response time
average over 24h
73
Installs / week
npm and PyPI

Gessa: game asset generation for AI agents does not always answer

Over the last week it answered 98.4% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not 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 4 min ago.

run in your terminal
claude mcp add mcp-server --transport http https://api.gessa.ai/mcp/rpc
Settings → Connectors → Add custom connector, then paste this address
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
{
  "servers": {
    "mcp-server": {
      "type": "http",
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}

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 767 ms 4 min ago

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answering

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: 94.5% 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 86 of 91 checks got a reply (94.5%), average response time 460 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 in the form 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 460 ms on average, which is faster than 27% of all working MCP servers we measure. 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 73 times in the last week. Week over week that is +204%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.