C
Emerging
74/100
13 days ago

UGCmind MCP

Open-source MCP server for AI image and video generation via UGCmind, enabling prompt inspiration, generation, and async task tracking from any MCP host.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

keenocean

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

Install from

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings
25 tools verified — handlers match their declared behaviour
7 read-only tools verified — handlers contain no write/delete/exec
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, UGCMIND_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configCOMFYUI_DEFAULT_WORKFLOW
configCOMFYUI_URLexport =http://localhost:8188
🔐 secretOPENAI_API_KEYexport =...
configOPENAI_BASE_URLexport =https://api.openai.com
configOPENAI_MODELexport =gpt-image-2
🔐 secretUGCMIND_API_KEYexport =sk_...
configUGCMIND_API_URLe =https://ugcmind.com \
configUGCMIND_LOCALEexport =en
configUGCMIND_OUTPUT_DIR
configXDG_PICTURES_DIR
// quality suggestions

All four hints declared on every tool

25/25 tools missing one or more hints — ugcmind_capabilities (missing: destructiveHint, idempotentHint, openWorldHint); comfyui_workflow (missing: idempotentHint, openWorldHint); enhance_prompt (missing: destructiveHint, idempotentHint, openWorldHint), +22 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

Only 0/12 tool handlers declare input schemas (0%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

8/12 tool handlers wrap calls in try/catch (67%)

Wrap each tool handler body in try/catch and return a structured error response.

Tool test coverage

18/25 tools referenced in tests (72%)

Write tests that reference each tool by name so every tool has at least one test.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/keenocean-ugcmind-mcp-1k3rph)](https://m8ven.ai/mcp/keenocean-ugcmind-mcp-1k3rph)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: b03157d30d81c0565ea65ca6fbe8e6d4a79445e5
code hash: a34c84815abe5542f19e24d73663f27095e18d5891f280ffc58890d5c3e76fca
verified: 8/6/2026, 9:11:11 AM
view raw JSON →
Check MCPs from inside your assistant
Tool Check · MCP

Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.

https://m8ven.ai/api/mcp/tool-check
check_toolsearch_toolscompare_toolsrecommend_alternativescheck_publisherreport_concern
How to add it →Free · no account needed · works in any MCP client