Gessa: game asset generation for AI agents

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

What does this entry provide?

Gessa: game asset generation for AI agents is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 93/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Gessa: game asset generation for AI agents to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 93/100
Install method: streamable-http
Repo: Registry only
Repo updated: Aug 25, 2026

Install command

mcp add ai.gessa/mcp-server https://api.gessa.ai/mcp/rpc

Install method: streamable-http

Review the upstream source before running this command.

Source entry

Quality

Repo stars

Repo updated

Aug 25, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-08-25T01:00:11.487874Z",
      "publishedAt": "2026-08-25T01:00:11.487874Z",
      "statusChangedAt": "2026-08-25T01:00:11.487874Z"
    }
  },
  "server": {
    "name": "ai.gessa/mcp-server",
    "title": "Gessa: game asset generation for AI agents",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://api.gessa.ai/mcp/rpc",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "isSecret": true,
            "isRequired": true,
            "description": "Bearer token: an API key (mcpkey_...) or an OAuth access token (mcp_at_...). Remote connectors use OAuth."
          }
        ]
      }
    ],
    "version": "1.0.0",
    "packages": [
      {
        "version": "1.0.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@gessa/mcp-server",
        "runtimeHint": "npx",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org",
        "environmentVariables": [
          {
            "name": "GESSA_API_KEY",
            "isSecret": true,
            "isRequired": true,
            "description": "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."
          },
          {
            "name": "GESSA_API_URL",
            "default": "https://api.gessa.ai",
            "description": "Override the API origin the stdio proxy forwards to. Defaults to https://api.gessa.ai."
          }
        ]
      }
    ],
    "websiteUrl": "https://gessa.ai/assets/for-agents/",
    "description": "Generate game-ready 3D models, textures, and audio from natural language, over MCP."
  }
}

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