MCP.Market

FrancoLabs MCP server

online · 100% uptime
by glauberfrancodesign·io.github.glauberfrancodesign/francolabs·v1.0.0
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UX research platform: manage studies, browse templates, read responses and analytics.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
New

0 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

FrancoLabs tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 328ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 108 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How FrancoLabs compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 70% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
345 ms
faster than 42% of 30,031 servers

Install FrancoLabs in Claude Code, Cursor or VS Code

claude mcp add --transport http francolabs https://francolabs.vercel.app/mcp
Add to Cursor

What the publisher says

From the FrancoLabs repository's README, as published. We do not edit it. Read it on GitHub

FrancoLabs MCP Server

Connect AI assistants to FrancoLabs — a UX research platform — over the Model Context Protocol. Let Claude, ChatGPT and other MCP clients create and manage studies, browse templates, read participant responses and analytics, run AI-grounded analysis, and turn insights into product opportunities on your behalf.

  • Endpoint: https://francolabs.vercel.app/mcp
  • Transport: Streamable HTTP (MCP protocol 2025-06-18)
  • Auth: OAuth 2.1 (Dynamic Client Registration + PKCE) or Personal Access Token
  • Registry: io.github.glauberfrancodesign/francolabs

Connect

Claude (claude.ai / Desktop)

Settings → Connectors → Add custom connector → URL:

https://francolabs.vercel.app/mcp

Complete the OAuth consent screen — you choose exactly which scopes to grant and can toggle read-only access.

ChatGPT

Enable Developer Mode, then Settings → Connectors → Add → same URL. Authenticate via the OAuth flow.

Claude Code / Cursor (manual token)

Generate a Personal Access Token in Settings → Integrations, then:

claude mcp add --transport http francolabs \
  "https://francolabs.vercel.app/mcp" \
  --header "Authorization: Bearer <your-token>"

Tools

createproject and createstudy write into a workspace — pass workspaceId (see list_workspaces), or omit it to use your oldest workspace by default.

Two resources are also exposed: francolabs://templates and francolabs://question-types.

Scopes

templates:read · projects:read · projects:write · studies:read · studies:write · responses:read

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

FrancoLabs: common questions

Is FrancoLabs MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the FrancoLabs safety report
How do I install FrancoLabs?
It runs remotely at francolabs.vercel.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does FrancoLabs need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is FrancoLabs maintained?
The last commit was 145 days ago (2026-06-12). The latest release is v1.0.0.
Is FrancoLabs up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does FrancoLabs compare with other MCP servers?
safety score 85/100 (higher than 70% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 345 ms (faster than 42% of 30,031 servers). Full comparison.