FrancoLabs

Name: FrancoLabs
Author: glauberfrancodesign

by glauberfrancodesignversion 1.0.0i★ –iRuns in the cloud

Registry nameio.github.glauberfrancodesign/francolabs

Install

Overview

Description from the maker (original English)

UX research platform: manage studies, browse templates, read responses and analytics.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://francolabs.vercel.app/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "francolabs": {
      "url": "https://francolabs.vercel.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "francolabs": {
      "type": "http",
      "url": "https://francolabs.vercel.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://francolabs.vercel.app/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account glauberfrancodesign, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

More stars than 0% of the other 3575 servers in this category
Published to the registry more recently than 11% of the other 3575 servers in this category
Basic checks equal to or better than 100% of the other 3575 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is FrancoLabs safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

MCP YouTube Transcript

by jkawamoto

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 11 days ago

Install

Google Analytics MCP

by surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 10 days ago

Install

BibiGPT YouTube Video Summarizer

by JimmyLv

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

Runs in the cloud★ 137MITUpdated 11 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 "

Tools

A tool listed with two scopes needs both. AI marks tools that call a language model and use AI credits; the model only sees the deterministic digest and curated insights, with e-mail addresses and phone numbers masked first.

Templates, workspaces and projects

Tool	Scope	Description
`list_question_types`	`templates:read`	Question/block types with the exact settings shape and a valid example
`list_templates`	`templates:read`	Study templates, optionally by category
`list_workspaces`	`projects:read`	Workspaces (teams) you belong to and your role in each
`list_projects`	`projects:read`	Your projects, optionally by status
`get_project`	`projects:read`	A single project by id
`get_plan`	`projects:read`	The workspace plan and current usage: limits, what is enforced now, grants and when extended access ends, and the per-person AI-create cap
`create_project`	`projects:write`	Create a project (optionally in a specific workspace)

Studies

Tool	Scope	Description
`list_studies`	`studies:read`	Studies, filtered by status and/or project
`get_study`	`studies:read`	A full study with blocks and settings
`create_study`	`studies:write`	Create a Draft study; blocks are validated against `list_question_types`
`update_study`	`studies:write`	Update title, blocks, project; `settings` is a partial update
`set_study_status`	`studies:write`	Launch a Draft, pause, resume a Paused study, or complete it
`delete_study`	`studies:write`	Permanently delete a study and its responses
`generate_study_from_objective`	`studies:read`	AI — turn a research objective into a typed study skeleton
`review_study_quality`	`studies:read`	AI — survey-design review with a quality score per block

Responses, analysis and insights

Tool	Scope	Description
`list_responses`	`responses:read`	Raw participant responses, newest first — may contain personal data written by respondents; pass `redact: true` to mask e-mails and phones
`get_study_analytics`	`responses:read`	Aggregated KPIs: responses, completion, duration, NPS, distributions
`get_study_digest`	`responses:read`	Deterministic, PII-free statistical digest for every question type
`run_universal_analysis`	`responses:read` + `studies:write`	AI — run/refresh the full analysis (replaces non-pinned AI insights)
`analysis_chat`	`responses:read`	AI — ask a question grounded in the digest and cached analysis
`get_insights`	`responses:read`	Curated insight cards, pinned first
`upsert_insight`	`responses:read` + `studies:write`	Create or edit a curated insight card
`rate_insight`	`responses:read` + `studies:write`	Record 👍/👎 feedback on an insight
`suggest_tags`	`responses:read` + `studies:write`	AI — tag insights with a consistent product taxonomy
`set_insight_tags`	`responses:read` + `studies:write`	Replace the tags of one insight
`research_memory_query`	`responses:read` + `studies:write`	AI — cross-study question answered from past curated insights

Opportunities and decisions

Tool	Scope	Description
`list_opportunities`	`responses:read`	Product opportunities distilled for a study
`create_opportunity_from_insights`	`responses:read` + `studies:write`	AI — distill insights into draft opportunities
`suggest_next_research_steps`	`responses:read`	AI — 3–5 follow-up studies that de-risk open opportunities
`generate_decision_packet`	`responses:read` + `studies:write`	AI — stakeholder-ready decision package (Markdown)
`list_decision_packets`	`responses:read`	Decision packages already generated for a study
`export_opportunity`	`responses:read` + `studies:write`	Export an opportunity to Linear as an issue — internal users only
`list_external_task_links`	`responses:read`	Linear issues already created from a study's opportunities

Contacts (personal data)

Tool	Scope	Description
`list_contacts`	`contacts:read`	Respondent contacts of the workspace — personal data (e-mail, name, locale/country, research consent, tags, response counts)
`get_contact`	`contacts:read`	One contact with the studies they answered — personal data
`tag_contacts`	`contacts:write`	Add/remove tags on contacts to segment respondents — never put sensitive information in tags

create_project and create_study write into a workspace — pass workspaceId (see list_workspaces), or omit it to use your oldest workspace by default. Write tools also require an editor role (owner, admin or member) in the study's workspace; viewers can only read.

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

Scopes

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

`contacts:read` and `contacts:write` give access to personal data of your respondents (e-mail, name, locale/country, research consent, tags and response history). They are opt-in: the consent screen and the Read-only token preset leave them unchecked; grant them only to assistants that need your contacts base. responses:read returns raw answers, which can also contain personal data typed by respondents.

Tools you didn't grant are hidden from tools/list. A read-only grant blocks every write tool server-side, regardless of scopes.

Security

Tokens are stored only as SHA-256 hashes — never in plaintext.
Each request mints a short-lived (5 min) JWT so all data access runs under per-user row-level security; the service role is used only for the token lookup.
OAuth access and refresh tokens last 30 days; a connection never outlives 90 days. Access is revocable anytime from Settings → Integrations, and clients can revoke a token at the revocation endpoint (RFC 7009).
OAuth follows RFC 9728 (protected-resource discovery), RFC 8414 (AS metadata), RFC 7591 (dynamic client registration) and PKCE S256.

Source

This repository mirrors the server's source for transparency. The server runs as a Supabase Edge Function (src/mcp, src/mcp-oauth, src/_shared).

FrancoLabs

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

FrancoLabs MCP Server

Connect

Claude (claude.ai / Desktop)

ChatGPT

Claude Code / Cursor (manual token)

Tools

Templates, workspaces and projects

Studies

Responses, analysis and insights

Opportunities and decisions

Contacts (personal data)

Scopes

Security

Source