How do I use FrancoLabs MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@FrancoLabs MCP Server create a study for the new onboarding experience" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

FrancoLabs MCP Server

by glauberfrancodesign

Overview Schema Related Servers Score Discussions

TypeScript

Remote

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>"

Related MCP server: AI Survey Creator MCP Server

Tools

Tool	Scope	Description
`list_question_types`	`templates:read`	List question/block types and their settings
`list_templates`	`templates:read`	List study templates, optionally by category
`list_workspaces`	`projects:read`	List the workspaces (teams) you belong to and your role in each
`list_projects`	`projects:read`	List your projects
`get_project`	`projects:read`	Get a single project by id
`create_project`	`projects:write`	Create a new project (optionally in a specific workspace)
`list_studies`	`studies:read`	List studies (filter by status/project)
`get_study`	`studies:read`	Get a full study with blocks and settings
`create_study`	`studies:write`	Create a study (auto-scaffolds welcome + thank-you)
`update_study`	`studies:write`	Update title, blocks, settings or project
`set_study_status`	`studies:write`	Launch / pause / resume / complete a study
`delete_study`	`studies:write`	Permanently delete a study and its responses
`list_responses`	`responses:read`	List participant responses (most recent first)
`get_study_analytics`	`responses:read`	Aggregated KPIs: NPS, completion, distributions
`get_study_digest`	`responses:read`	Deterministic, PII-free statistical digest of a study's results
`run_universal_analysis`	`responses:read`	Run/refresh the full AI analysis (digest + grounded synthesis)
`analysis_chat`	`responses:read`	Ask a natural-language question, grounded in the study's analysis
`get_insights`	`responses:read`	List curated insight cards for a study
`upsert_insight`	`studies:write`	Create or update a curated insight card
`generate_study_from_objective`	`studies:read`	Turn a research objective into a typed study skeleton
`review_study_quality`	`studies:read`	Review a study's questionnaire for survey-design issues
`list_opportunities`	`responses:read`	List product opportunities distilled from a study's insights
`create_opportunity_from_insights`	`studies:write`	Distill insights into decision-ready product opportunities

create_project and create_study 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

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.
Access is revocable anytime from Settings → Integrations.
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).

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