SERVER

Gessa: game asset generation for AI agents

Rank #84,339

ai.gessa/mcp-server

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

1 version

by gessa-ai (2 servers)View repository ↗

Listed & last published

Aug 25, 2026

PURPOSE

What you can do with Gessa: game asset generation for AI agents

Gessa: game asset generation for AI agents is a Model Context Protocol (MCP) server published by gessa-ai. It ranks #84,339 of 167,945 active servers on MCP Toplist. Gessa: game asset generation for AI agents is listed on Official MCP, with 1 tracked version. It was first listed on Aug 25, 2026 and most recently updated on Aug 25, 2026.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What Gessa: game asset generation for AI agents can and cannot do

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using Gessa: game asset generation for AI agents

DeclaredAPI keyCredentials declared

The registry listing declares required configuration before first use — typically an API key, token or connection string set via environment variables.

Declared by the Official MCP Registry, last synced Nov 3, 2026. Not independently verified by MCP Toplist.

Declared in the registry install config

GESSA_API_KEY · required
GESSA_API_URL · optional

Hosted endpoint declared as requiring authentication.

INSTALLATION AND FIRST TASK

Connect Gessa: game asset generation for AI agents and confirm it works

Remote · HTTP

claude mcp add --transport http gessa https://api.gessa.ai/mcp/rpc

This endpoint requires authentication — see the server’s docs for credentials.

npm package

claude mcp add gessa -e "GESSA_API_KEY=<your GESSA_API_KEY>" -e "GESSA_API_URL=<your GESSA_API_URL>" -- npx -y @gessa/mcp-server

Replace each placeholder with your own value before saving.

Remote · HTTP

[mcp_servers.gessa]
url = "https://api.gessa.ai/mcp/rpc"

Add to ~/.codex/config.toml. This endpoint requires authentication — see the server’s docs for credentials.

npm package

[mcp_servers.gessa]
command = "npx"
args = ["-y", "@gessa/mcp-server"]

[mcp_servers.gessa.env]
GESSA_API_KEY = "<your GESSA_API_KEY>"
GESSA_API_URL = "<your GESSA_API_URL>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Remote · HTTP

https://api.gessa.ai/mcp/rpc

Settings → Connectors → “Add custom connector”, then paste this URL. This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "gessa": {
      "command": "npx",
      "args": [
        "-y",
        "@gessa/mcp-server"
      ],
      "env": {
        "GESSA_API_KEY": "<your GESSA_API_KEY>",
        "GESSA_API_URL": "<your GESSA_API_URL>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "gessa": {
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "gessa": {
      "command": "npx",
      "args": [
        "-y",
        "@gessa/mcp-server"
      ],
      "env": {
        "GESSA_API_KEY": "<your GESSA_API_KEY>",
        "GESSA_API_URL": "<your GESSA_API_URL>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "servers": {
    "gessa": {
      "type": "http",
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}

Save as .vscode/mcp.json in your workspace. This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "servers": {
    "gessa": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@gessa/mcp-server"
      ],
      "env": {
        "GESSA_API_KEY": "<your GESSA_API_KEY>",
        "GESSA_API_URL": "<your GESSA_API_URL>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "gessa": {
      "serverUrl": "https://api.gessa.ai/mcp/rpc"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "gessa": {
      "command": "npx",
      "args": [
        "-y",
        "@gessa/mcp-server"
      ],
      "env": {
        "GESSA_API_KEY": "<your GESSA_API_KEY>",
        "GESSA_API_URL": "<your GESSA_API_URL>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "gessa": {
      "url": "https://api.gessa.ai/mcp/rpc"
    }
  }
}

This endpoint requires authentication — see the server’s docs for credentials.

npm package

{
  "mcpServers": {
    "gessa": {
      "command": "npx",
      "args": [
        "-y",
        "@gessa/mcp-server"
      ],
      "env": {
        "GESSA_API_KEY": "<your GESSA_API_KEY>",
        "GESSA_API_URL": "<your GESSA_API_URL>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

ALTERNATIVES

When to choose another server

Other servers by gessa-ai

MCP Server#46,933

View all gessa-ai servers →

No task-specific alternatives are catalogued for Gessa: game asset generation for AI agentsyet; the list above is its publisher's other servers.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed: Aug 25, 2026
Latest version published: Aug 25, 2026
Version history: 1 version tracked (below)
Requirements evidence: Declared by the Official MCP Registry, last synced Nov 3, 2026. Not independently verified by MCP Toplist.
Profile checked: Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of: Aug 25, 2026

Registry sightings

Official MCP ↗listed since Aug 25, 2026 · still listed

Do you maintain Gessa: game asset generation for AI agents? to correct or enrich this profile.

VERSIONS

Available versions (1)

Version	Published
1.0.0	Aug 25, 2026

STANDING

#84,339of 167,945 active servers

Ranks ahead of 83,606 of 167,945 servers on MCP Toplist.

BADGE

Show your rank

Maintain this server? Add the live rank badge to your README — it updates automatically as the leaderboard changes.

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HTML

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FAQ

Frequently asked questions

Who maintains Gessa: game asset generation for AI agents?: Gessa: game asset generation for AI agents is maintained by gessa-ai, which publishes 2 MCP servers (2 total versions) tracked on MCP Toplist.
Is Gessa: game asset generation for AI agents listed on the Official MCP Registry?: Yes — Gessa: game asset generation for AI agents is listed on the Official MCP Registry.
How many versions does Gessa: game asset generation for AI agents have?: MCP Toplist tracks 1 version of Gessa: game asset generation for AI agents, most recently published on Aug 25, 2026.
Where can I find the source code for Gessa: game asset generation for AI agents?: The source code for Gessa: game asset generation for AI agents is hosted at github.com/gessa-ai/gessa.

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