ai.gency/gency-mcp

Gency AI product image generation - MCP server for Claude, Codex, Cursor, VS Code

What does this entry provide?

ai.gency/gency-mcp is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. 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 ai.gency/gency-mcp 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: 78/100
Install method: npm
Repo: studiolab-dev/gency-mcp
Repo updated: Oct 22, 2026

Install command

npx -y @gency-ai/gency-mcp@0.7.0

Install method: npm

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 22, 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": "2026-10-22T09:01:14.012025Z",
      "publishedAt": "2026-10-22T09:01:14.012025Z",
      "statusChangedAt": "2026-10-22T09:01:14.012025Z"
    }
  },
  "server": {
    "name": "ai.gency/gency-mcp",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.7.0",
    "packages": [
      {
        "version": "0.7.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@gency-ai/gency-mcp",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "GENCY_API_URL",
            "format": "string",
            "default": "https://openapi.gency.ai",
            "description": "Gency API base URL"
          },
          {
            "name": "GENCY_OAUTH_CLIENT_ID",
            "format": "string",
            "description": "OAuth client ID override. Defaults to the built-in official client, so most users never set this."
          },
          {
            "name": "GENCY_OAUTH_CLIENT_SECRET",
            "format": "string",
            "isSecret": true,
            "description": "OAuth client secret, only needed for confidential clients."
          },
          {
            "name": "GENCY_OAUTH_API_BASE",
            "format": "string",
            "description": "OAuth provider base URL. Defaults to GENCY_API_URL."
          },
          {
            "name": "GENCY_OAUTH_SCOPE",
            "format": "string",
            "default": "product:read product:write team:read team:write user:read",
            "description": "Space-separated OAuth scopes."
          },
          {
            "name": "GENCY_MCP_ALLOWED_CLIENT_IDS",
            "format": "string",
            "description": "serve-http only: OAuth client IDs whose tokens this server accepts (space or comma separated). Empty accepts any client."
          },
          {
            "name": "GENCY_MCP_UPLOAD_SECRET",
            "format": "string",
            "isSecret": true,
            "description": "serve-http only: HMAC key for signed upload handles. Only needed when running more than one instance, so a handle issued by one verifies on another."
          },
          {
            "name": "GENCY_MCP_OAUTH_RESOURCE",
            "format": "string",
            "description": "RFC 8707 resource indicator to send on authorize/token/refresh requests. Opt-in until the Gency authorization server is confirmed to accept it."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/studiolab-dev/gency-mcp",
      "source": "github"
    },
    "description": "Gency AI product image generation - MCP server for Claude, Codex, Cursor, VS Code"
  }
}

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