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ai.gency/gency-mcp

NPM · @GENCY-AI/GENCY-MCP · SCANNED SEP 25

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

Available components

0 this week 73 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 24 of 77 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
  • Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
  • Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 57 days ago).Pass
  • Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability54
  • 14% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Partial
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 1344 tokens (~49/item across 27 items; 21 tools + 6 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
  • Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "logout" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the ai.gency/gency-mcp server?

ai.gency/gency-mcp runs locally as an npm package, launched with npx -y @gency-ai/gency-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @gency-ai/gency-mcp

# add to Claude Code
claude mcp add ai-gency-gency-mcp -- npx -y @gency-ai/gency-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-gency-gency-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@gency-ai/gency-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-gency-gency-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@gency-ai/gency-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add ai-gency-gency-mcp -- npx -y @gency-ai/gency-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-gency-gency-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@gency-ai/gency-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-gency-gency-mcp --command npx --arg -y --arg @gency-ai/gency-mcp
# ~/.hermes/config.yaml
mcp_servers:
  ai-gency-gency-mcp:
    command: "npx"
    args: ["-y", "@gency-ai/gency-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-gency-gency-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@gency-ai/gency-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ai-gency-gency-mcp -t stdio -c npx -a -y @gency-ai/gency-mcp
// mcp.json
{
  "mcpServers": {
    "ai-gency-gency-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@gency-ai/gency-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 25 Sept 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 22 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 20 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 19 Sept 26 0
    • Stability: 0.97 → pass security
  • 18 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 12 Sept 26 0
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 25 Sept 2026 · Analysed npm/@gency-ai/gency-mcp@0.6.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Dependencies 77 packages
Packages resolved 77
Stale 24
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 21 exposed · ~1,306 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
auth_status ~57

Inspect current Gency OAuth state. Call this BEFORE the first gency tool in a session if unsure — output's 'Next action' line tells you whether to invoke `login` or proceed. gency-mcp authenticates with OAuth only.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

create_product ~152

Create AI-generated product images. **Consumes credits — confirm with the user first.** Only `category: "CLOTHING"` is accepted by the API today. Defaults to ONE product per request (all colors go in a single `colors` array; split only on explicit user request). **Do NOT guess colors/fabrics/features/laundryTips from filenames or category — ask the user.** Generation is asynchronous: poll `get_product` until status leaves CREATING. Read resource `gency://api-reference/products` for the full ProductMetadata schema (category enum, additionalInfo, sizeTables format).

NameTypeReqDescription
productsarrayyesArray of product metadata
workspaceIdstringyesTarget workspace ID

No output schema declared.

No examples provided.

create_workspace ~29

Create a new workspace. Confirm with the user before executing.

NameTypeReqDescription
namestringyesWorkspace name

No output schema declared.

No examples provided.

download_product_image ~97

Render a generated product's detail page and save the resulting image locally. Requires the product to be generated (status past CREATING). Rendering is slow — allow up to 3 minutes.

NameTypeReqDescription
outputPathstring–Absolute path to write the image to. Defaults to a file in the OS temp directory.
productIdstringyesProduct ID
templateIdstring–Template ID to render with (optional)

No output schema declared.

No examples provided.

get_credits ~27

Get remaining credit balance for the team. Call this BEFORE create_product to ensure sufficient credits.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_me ~14

Get current authenticated user information

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_product ~26

Get detailed information about a specific product.

NameTypeReqDescription
productIdstringyesProduct ID

No output schema declared.

No examples provided.

get_team ~18

Get current team information including team name and plan

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_upload_url ~109

Get a presigned S3 URL to upload one product image, plus the uploadHandle that `upload_image` requires. Single-use, valid 1h; uploaded images retained 24h. See `gency://api-reference/images`. Tip: for the common 6+ images case, prefer `prepare_product_images` (single call).

NameTypeReqDescription
extensionstringyesFile extension (lowercase, no dot). Must match the PUT Content-Type.
workspaceIdstringyesWorkspace ID

No output schema declared.

No examples provided.

get_user ~40

Get information about a specific team member. The target user must belong to the same team as the caller.

NameTypeReqDescription
userIdstringyesTarget user ID

No output schema declared.

No examples provided.

list_products ~24

List products in a workspace.

NameTypeReqDescription
workspaceIdstringyesWorkspace ID

No output schema declared.

No examples provided.

list_templates ~67

List templates for a workspace (workspace-specific + defaults TEMPLATE_01~TEMPLATE_12). Present as a picklist for the user — do NOT silently pick.

NameTypeReqDescription
productTypestring–Product type filter (default: FASHION)
workspaceIdstringyesWorkspace ID

No output schema declared.

No examples provided.

list_users ~13

List all team members

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_workspaces ~18

List all workspaces in the current team

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

login ~201

Start OAuth login (opens a browser). Captures the callback in-process and stores tokens at ~/.gency/tokens.json. gency-mcp uses OAuth only — this is the single sign-in flow.

NameTypeReqDescription
api_basestring–OAuth provider base URL. Defaults to GENCY_OAUTH_API_BASE/GENCY_API_URL.
client_idstring–OAuth client_id. Defaults to GENCY_OAUTH_CLIENT_ID env.
client_secretstring–OAuth client_secret (only required for confidential clients). Defaults to GENCY_OAUTH_CLIENT_SECRET env.
portinteger–Fixed loopback port. Default: 53682 (must be whitelisted in the OAuth client's redirect URIs as http://localhost:53682/callback).
scopestring–Space-separated scopes. Defaults to product:read product:write team:read team:write user:read.
timeout_secondsinteger–Login timeout. Default: 300.

No output schema declared.

No examples provided.

logout ~35

Remove stored OAuth tokens (~/.gency/tokens.json). gency-mcp is OAuth-only — there is no API key state to clear.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

prepare_product_images ~111

Upload 6+ local images for a workspace and return imageIds ready for create_product. Use this when the user gives you several image paths — it replaces 6× (get_upload_url + upload_image). Fails fast if fewer than 6 paths are supplied (Gency requires min 6 per product).

NameTypeReqDescription
filePathsarrayyesAbsolute paths to local image files (6-50). Order is preserved; the first becomes the primary thumbnail.
workspaceIdstringyesWorkspace ID

No output schema declared.

No examples provided.

search_docs ~56

Search Gency API docs by keyword. Returns top 3 ranked snippets with line numbers from developers.gency.ai (cached 1h).

NameTypeReqDescription
querystringyesSearch keywords (space-separated, e.g., 'webhook signature')

No output schema declared.

No examples provided.

update_product_status ~52

Change product review status. Confirm with the user. Transitions: BEFORE_REVIEW → IN_REVIEW → REVIEW_COMPLETE.

NameTypeReqDescription
productIdstringyesProduct ID
statusstringyesNew status

No output schema declared.

No examples provided.

update_workspace ~41

Rename a workspace. Confirm with the user before executing.

NameTypeReqDescription
namestringyesNew workspace name
workspaceIdstringyesWorkspace ID to update

No output schema declared.

No examples provided.

upload_image ~119

PUT a local image file to the presigned S3 URL that get_upload_url issued. Pass the `uploadHandle` from that call — it carries the destination URL, so no URL is accepted here.

NameTypeReqDescription
contentTypestring–MIME type (auto-detected from file contents if omitted)
filePathstringyesAbsolute path to the local image file
uploadHandlestringyesThe uploadHandle returned by get_upload_url. Single-use, valid 1h, and only redeemable by the caller it was issued to.

No output schema declared.

No examples provided.

Common questions

What is the ai.gency/gency-mcp server?

ai.gency/gency-mcp is listed in the public MCP registry as ai.gency/gency-mcp. Gency AI product image generation - MCP server for Claude, Codex, Cursor, VS Code. This page covers its npm package (@gency-ai/gency-mcp).

Is the ai.gency/gency-mcp server safe to use?

ai.gency/gency-mcp scores 73 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 25 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the ai.gency/gency-mcp server expose?

ai.gency/gency-mcp exposes 21 tools: login, logout, auth_status, get_team, list_workspaces, and 16 more. Their descriptions and schemas cost roughly 1,306 tokens of context every time the server is loaded.

Is the ai.gency/gency-mcp server still maintained?

ai.gency/gency-mcp is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the ai.gency/gency-mcp server under?

ai.gency/gency-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.