Userology MCP Server
Enables AI assistants to interact with the Userology UX research platform for creating and managing studies, interview guides, analytics, and more.
README
Userology MCP Server
An MCP (Model Context Protocol) server that exposes the Userology UX research platform as tools and resources for any MCP-compatible AI client — Claude Desktop, Cursor, Windsurf, and more.
What It Does
This server wraps the Userology researcher-service REST API, giving AI assistants the ability to:
- Create & manage studies — Draft, launch, copy, and configure UX research studies
- Build interview guides — AI-generate, edit, and rephrase interview guides
- Manage sections/tasks — Add prototype testing, concept testing, voice interview, and live product research sections
- Access analytics — Get qualitative insights, quantitative metrics, Q&A analysis, and full study reports
- Use Synthesis Studio — Have AI-powered conversations to explore research findings
- View session data — Access participant lists, session transcripts, and recordings
- Analyze Figma prototypes — Extract screen context from Figma files
Quick Start
1. Install
cd userology-mcp-server
pip install -e .
2. Configure
Copy .env.example to .env and fill in your credentials:
cp .env.example .env
Required variables:
| Variable | Description |
|---|---|
USEROLOGY_API_BASE_URL |
Researcher-service API URL (default: https://dev.userology.info/researcher/api) |
USEROLOGY_TENANT_ID |
Your organization's tenant ID |
USEROLOGY_ID_TOKEN |
Firebase JWT token (interactive mode) |
3. Add to Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"userology": {
"command": "userology-mcp",
"env": {
"USEROLOGY_TENANT_ID": "your-tenant-id",
"USEROLOGY_ID_TOKEN": "your-token"
}
}
}
}
4. Test with MCP Inspector
npx @modelcontextprotocol/inspector userology-mcp
Available Tools (45 total)
Study Management (9 tools)
create_study · create_study_from_description · get_study · list_studies · update_study_name · update_study_details · update_study_status · copy_study · delete_study
Section/Task Management (7 tools)
create_section · get_sections · get_section · update_section · delete_section · copy_section · reorder_section
Interview Guides (4 tools)
get_interview_guides · update_interview_guide · generate_guide · rephrase_guide
Analytics & Reports (11 tools)
get_analytics_status · generate_analytics · get_qualitative_insights · get_quantitative_data · get_qna_analysis · get_study_summary · get_study_insights · get_study_report · generate_study_report · get_session_report · get_ui_annotations
Synthesis Studio (6 tools)
create_synthesis_chat · list_synthesis_chats · get_synthesis_chat · send_synthesis_message · delete_synthesis_chat · share_synthesis_chat
Session & Participant Data (7 tools)
get_participants · get_session · get_session_recordings · get_sessions_report · get_participant_sessions_report · get_study_tags · update_study_tags
Figma Integration (1 tool)
get_figma_context
Resources
| URI | Description |
|---|---|
userology://studies |
List all studies |
userology://study/{id} |
Study details |
userology://study/{id}/guides |
Interview guides |
userology://study/{id}/analytics |
Analytics status |
Architecture
MCP Client (Claude / Cursor / etc.)
│ MCP Protocol (stdio)
▼
userology-mcp-server
│ HTTPS
▼
researcher-service (existing Userology backend)
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.