FrancoLabs
UX research platform: manage studies, browse templates, read responses and analytics.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http francolabs 'https://francolabs.vercel.app/mcp'{
"mcpServers": {
"francolabs": {
"type": "http",
"url": "https://francolabs.vercel.app/mcp"
}
}
}Documentation
From the project's README on GitHub, refreshed weekly. Links open 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/mcpComplete 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
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. All rights reserved.
Frequently asked questions
What is FrancoLabs?
UX research platform: manage studies, browse templates, read responses and analytics.
How do I install FrancoLabs?
It runs as a remote server. In Claude Code: claude mcp add --transport http francolabs 'https://francolabs.vercel.app/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does FrancoLabs need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is FrancoLabs open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains FrancoLabs?
It is published by glauberfrancodesign. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.