Table of Contents
- What's available
- Setup
- Available tool calls
- Candidate tools
- Study tools (all types)
- Configuring study setup
- Interview study tools
- Survey study tools
- Unmoderated study tools
- Scheduling tools
- Study message tools
- Participant tools
- Session & Transcript tools
- Response tools
- Artifact tools (Highlights, Insights & Reels)
- Workspace tools
- Common tool call parameters
- Use cases
- Troubleshooting
- Usage Tips
- Security & data handling
Great Question MCP
Updated
by Jack Gerli
- What's available
- Setup
- Available tool calls
- Candidate tools
- Study tools (all types)
- Configuring study setup
- Interview study tools
- Survey study tools
- Unmoderated study tools
- Scheduling tools
- Study message tools
- Participant tools
- Session & Transcript tools
- Response tools
- Artifact tools (Highlights, Insights & Reels)
- Workspace tools
- Common tool call parameters
- Use cases
- Troubleshooting
- Usage Tips
- Security & data handling
Great Question’s MCP (Model Context Protocol) server gives your team read and write access to studies, sessions, transcripts, highlights, insights, participant data, and study management from Claude Desktop, Claude Code, Cursor, ChatGPT, or any MCP-compatible AI tool.
What's available
The MCP provides access across the full research workflow:
- Candidates: Create, update, and delete participant profiles. View full profiles with demographics and participation history. Search by name, email, study, date, or saved segment.
- Study design: Create, update, and delete interview studies (1:1, round robin, or collective), survey studies, and unmoderated studies (prototype tests, website tests, card sorts, and tree tests). Configure incentives, participation caps, consent forms, participant language, and meeting providers. Build and manage screener questionnaires with qualification rules, disqualification rules, and skip logic across a full range of question types. Add and reorder unmoderated study blocks (the tasks and questions participants work through).
- Scheduling: Configure interview booking limits, availability windows, buffers, scheduling notice, and livestream settings. Add, update, and remove moderators, collaborators, and observers.
- Recruitment: Shortlist existing candidates directly onto a study, or send screener invitations to qualify them first. Customize the invitation, screener, reminder, and other study emails before you send. Works across interview, survey, and unmoderated studies.
- Analysis: Browse and search sessions, transcripts, highlights, and participant responses (screener responses for interviews; survey and unmoderated submissions for surveys and unmoderated studies). Access speaker-attributed transcripts, including session recording transcripts surfaced directly on unmoderated responses, full-text search across transcript content, and prototype-test analytics (completion rate, top response paths, and drop-off by screen) with deep-links to heatmap and funnel views.
- Synthesis: Browse and search insights, research findings, and curated highlight reels across studies.
Setup
All clients connect to the same server URL:
https://greatquestion.co/api/mcp/v1
You'll need an active Great Question account with MCP access enabled. The connection uses OAuth 2.1 — you'll authenticate through your browser with your existing Great Question credentials. No API keys or secrets to manage.
Claude Desktop
- Open Settings → Connectors → Add custom connector.
- Enter the name
Great Questionand the server URL above. - Click Save, then Connect. Authenticate via your browser.
- Restart Claude Desktop. Great Question tools will appear when you start a new chat.
Claude Code
Run in your terminal:
claude mcp add --transport http GreatQuestion https://greatquestion.co/api/mcp/v1
ChatGPT
- Go to Settings → Apps → Advanced settings and toggle Developer mode on.
- Click Create app and enter:
- Name: Great Question
- Description: Query Great Question Research data
- MCP Server URL:
https://greatquestion.co/api/mcp/v1 - Authentication: OAuth
- Check "I understand and want to continue," click Create, and authenticate via your browser.
Cursor
- Open Cursor Settings (Cmd/Ctrl + Shift + J), then select MCP from the sidebar.
- Click + New MCP Server to open your
mcp.jsonfile. - Add the following:
{
"mcpServers": {
"great-question": {
"url": "https://greatquestion.co/api/mcp/v1"
}
}
}
- Save the file, then click Connect on the settings page. Authenticate via your browser.
Verifying your connection
Once connected, run through these quick checks in your MCP client:
- See your studies. Ask for your recent studies. You should see titles, statuses, and IDs you recognize.
- Find participants. Ask for candidates in one of those studies. Names and emails should appear as expected.
- Pull a transcript. Ask for transcripts from that study, then request the full content of one. Look for speaker labels and timestamps.
- Connect the dots. Pick a participant and ask which studies they've appeared in, what sessions they had, and what their transcripts say.
- Try a write action. Create a test candidate or draft study to confirm write access is working. You can delete it afterward.
- Try a repo session. Ask for recent repo sessions, pick one, and request its transcript.
If something doesn't work, see Troubleshooting below.
Available tool calls
The MCP exposes the following tools, organized by research workflow stage. Write tools can create, update, and delete resources. Read tools retrieve and search data.
Candidate tools
|
Tool |
What it does |
|
|
Create a new participant profile. If the email already exists, returns the existing candidate. |
|
|
Update a participant’s profile and custom attributes. |
|
|
Permanently forget a candidate (irreversible). Use for GDPR compliance. |
|
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Get a full candidate profile by ID, including demographics and participation history. |
|
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Browse all participants. Returns name, email, demographics, and participation history. Supports pagination. |
|
|
Find participants by name/email, study ID, saved segment, or updated-since timestamp. |
You can also browse and search your account's saved candidate segments (list_candidate_segments, get_candidate_segment, search_candidate_segments) and pass a segment ID into search_candidates to pull everyone matching that segment.
Study tools (all types)
These tools work across all study types (interviews, surveys, and unmoderated studies).
|
Tool |
What it does |
|
|
Get full details for a specific study by ID, including methodology and configuration. |
|
|
Browse all studies in your workspace. Returns title, status, style, and configuration. Supports pagination. |
|
|
Find studies by title, status (draft/active/closed), duration, creation date, last activity date, or last updated date. |
Configuring study setup
When creating or updating any study type, you can configure:
- Incentives:
- incentive_method (manual, tremendous, coupon, product, other)
- incentive (amount in whole currency units)
- currency (ISO 4217 code, e.g. USD, GBP)
- incentive_title
- incentive_instructions
- incentive_coupons (codes, when the method is coupon)
- Participation caps: participation_limit to cap how many people can participate
- interview studies accept an object with count and cadence (total or weekly);
- surveys and unmoderated studies accept an integer (total only).
- Consent form: consent_form_id to attach a consent form (discover IDs with list_consent_forms / search_consent_forms).
- Participant language: language for emails, booking pages, and public participation surfaces (de, en, es, fr, it, pt-BR, tr; defaults to en).
Interview studies additionally support:
- Scheduling style: scheduling_style (one_on_one, round_robin, or collective)
- with round_robin_assignment (availability or fairness) when using round robin.
- Meeting provider: meeting provider (manual, zoom, google_meet, microsoft_teams, webex, in_person) and duration_in_minutes.
- Calendar & availability: availability (weekly hours, timezone, and booking window), booking_limit (per day / per week), buffer_minutes, and minimum/maximum scheduling notice.
Screener question types. Screener and survey questions across all study types support these types: short_text, long_text, number, number_range, single_choice, multiple_choice, yes_no, email, website, info, date, location, and matrix. Choice questions support qualifying answers, disqualifying answers, and skip logic.
Interview study tools
Study management
|
Tool |
What it does |
|
|
Create a new interview study (1:1, round robin, or collective) with optional screener and skip logic. Supports incentive setup, participation caps (total or weekly), meeting provider, calendar/availability configuration, consent form, and language. |
|
|
Update title, goal, team, owner, scheduling style, meeting provider, calendar/availability, incentive setup, participation caps, consent form, and language. |
|
|
Soft-delete an interview study. |
|
|
Get full interview study details by ID. |
|
|
Browse all interview studies. Supports pagination. |
|
|
Filter by status, creator, owner, or dates. |
Screeners
|
Tool |
What it does |
|
|
Add or replace all screener questions on an interview study. |
|
|
Remove the screener from an interview study. |
|
|
Get all screener questions and configuration. |
|
|
Add a screener question with qualification, disqualification, and skip logic rules. Appends to existing questions. |
|
|
Edit a question or its logic rules. |
|
|
Remove a screener question. |
Survey study tools
Study management
|
Tool |
What it does |
|
|
Create a new survey study, optionally with its questions in a single call. Supports incentive setup, a total participation cap, consent form, and language. Screener (qualification) questions are managed separately. |
|
|
Update title, goal, team, ownership, incentive setup, participation cap, consent form, and language. |
|
|
Soft-delete a survey study. |
|
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Get full survey study details by ID. |
|
|
Browse all survey studies. Supports pagination. |
|
|
Filter by status, creator, owner, or dates. |
Screeners
|
Tool |
What it does |
|
|
Add or replace all screener questions on a survey study. |
|
|
Remove the screener from a survey study. |
|
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Get all screener questions and configuration. |
|
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Add a screener question with qualification, disqualification, and skip logic rules. Appends to existing questions. |
|
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Edit a question or its logic rules. |
|
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Remove a screener question. |
Unmoderated study tools
Unmoderated studies cover self-guided research — prototype tests, website tests, card sorts, and tree tests. Each study is built from an ordered set of blocks (the tasks and questions a participant works through).
Study management
|
Tool |
What it does |
|
|
Create a new unmoderated study with optional screener. Supports incentive setup, a total participation cap, consent form, and language. |
|
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Update title, goal, team, ownership, incentive setup, participation cap, consent form, and language. |
|
|
Soft-delete an unmoderated study. |
|
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Get full unmoderated study details by ID, including its ordered block configuration. Prototype-test blocks also return analytics (completion rate, top response paths, drop-off by screen) and deep-links to the heatmap and funnel views in the app. |
|
|
Browse all unmoderated studies. Supports pagination. |
|
|
Filter by status, creator, owner, or dates. |
Blocks
|
Tool |
What it does |
|
|
Add a task or question block — prototype test, website test, card sort, tree test, or a question block (short/long text, number, date, location, etc.). Structural blocks (welcome, thank you, permissions, AI-moderated interview) are created with the study. |
|
|
Update a block’s shared attributes and its kind-specific fields (e.g. prototype/website URL, card sort cards and categories, tree test nodes, permission requirements). |
|
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Move a block to a new position. Structural blocks stay pinned at the start and end. |
|
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Remove a block. Structural blocks cannot be removed. |
Screeners
|
Tool |
What it does |
|
|
Add or replace all screener questions on an unmoderated study. |
|
|
Remove the screener from an unmoderated study. |
|
|
Get all screener questions and configuration. |
|
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Add a screener question with qualification, disqualification, and skip logic rules. Appends to existing questions. |
|
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Edit a question or its logic rules. |
|
|
Remove a screener question. |
Scheduling tools
Interview calendar
|
Tool |
What it does |
|
|
Configure booking limits, availability, buffers, livestream settings, and scheduling notice. |
|
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View current booking settings for an interview study. |
Interview moderators
|
Tool |
What it does |
|
|
Add a moderator, collaborator, or observer to an interview study. |
|
|
Change a team member’s role or calendar settings. |
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Remove a team member from the interview study. |
|
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View all assigned team members. |
Study message tools
Customize the emails a study sends — invitations, screener invites, reminders, booking confirmations, thank-yous, and more — before you send them. Templates are your account's per-kind defaults; messages are the per-study copies you compose from them.
|
Tool |
What it does |
|
|
Browse your account's default message templates, or fetch the default for a given kind (invite, screener, reminders, booked, thanks, welcome, and more). |
|
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Browse or fetch a study's persisted messages. |
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Compose a custom message for a study (subject, body, sender, layout). |
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Edit an existing study message in place. |
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Discard a custom study message. |
Participant tools
Tools for adding candidates to a study. Shortlisting adds existing candidates to the study's participant list; sending a screener invitation emails them to fill out the study's screener. You can combine them (shortlist candidates first, then optionally send them a screener to qualify) or use either on its own.
Shortlist existing candidates. Each call automatically skips candidates who are already on the study, inaccessible to your team, uncontactable, or ineligible.
|
Tool |
What it does |
|
|
Shortlist candidates onto any study type by study ID (works across interview, survey, and unmoderated). |
|
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Shortlist candidates onto an interview study. |
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Shortlist candidates onto a survey study. |
|
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Shortlist candidates onto an unmoderated study. |
Send a screener invitation. Email candidates a link to fill out the study's screener. Works whether or not they've already been shortlisted.
|
Tool |
What it does |
|
|
Send a screener invitation to candidates for an interview study. |
|
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Send a screener invitation to candidates for a survey study. |
|
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Send a screener invitation to candidates for an unmoderated study. |
Session & Transcript tools
|
Tool |
What it does |
|
|
Browse all sessions (interviews, calls, observations). Returns title, summary, and timestamps. Supports pagination. |
|
|
Find sessions by title, candidate IDs, creator IDs, or study IDs. |
|
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Get full session details by UUID, including tags, recording link and metadata, and associated study/candidate. |
|
|
Get the complete speaker-attributed transcript for a session. |
|
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Browse all transcripts. Returns metadata and content. Supports pagination. |
|
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Full-text search within transcript content. Filter by candidate IDs or study IDs. |
|
|
Get a complete transcript by ID with speaker attribution. |
Response tools
Access participant responses across all three study types. What a "response" contains depends on the study type:
- Interview studies: screener responses — the candidate's answers to the screener questions, with qualification status and match score. The interview session itself is accessed via the Session & Transcript tools.
- Survey studies: the full survey submission — the participant's answers to the survey questions.
- Unmoderated studies: the full submission — answers, task metrics, timings, and recording link from the recorded session, with a pointer to the session transcript included on the response.
|
Type |
Tool |
What it does |
|
Interviews |
|
Get a participant's screener answers, match score, and qualification status. |
|
|
Browse all screener responses. Supports pagination. |
|
|
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Filter screener responses by submission date. |
|
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Surveys |
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Get a participant's survey answers and qualification status. |
|
|
Browse all survey responses. Supports pagination. |
|
|
|
Filter survey responses by submission date. |
|
|
Unmoderated |
|
Get a participant's submission with answers, task metrics, and timings. |
|
|
Browse all unmoderated responses. Supports pagination. |
|
|
|
Filter unmoderated responses by submission date. |
Screener responses are also available per study type via the dedicated screener-response tools (e.g. get_interview_screener_response, list_survey_screener_responses, search_unmoderated_screener_responses).
Artifact tools (Highlights, Insights & Reels)
|
Type |
Tool |
What it does |
|
Highlights |
|
Browse all highlights (annotated excerpts from sessions). Returns text, title, and color. Supports pagination. |
|
|
Find highlights by title/text, candidate IDs, creator IDs, or study IDs. |
|
|
|
Get full highlight details by UUID, including description, tags, and session reference. |
|
|
Insights |
|
Browse all insights (research findings and stories). Returns title, description, and content type. Supports pagination. |
|
|
Find insights by title/description, creator IDs, or study IDs. |
|
|
|
Get full insight details by slug, including text, cover image, tags, and associated study. |
|
|
Reels |
|
Browse all reels (curated highlight video compilations). Returns title and subtitle. Supports pagination. |
|
|
Find reels by title/subtitle, creator IDs, or study IDs. |
|
|
|
Get full reel details by token, including clips and tags. |
Workspace tools
A few helpers surface the building blocks you reference when setting up studies:
- Teams (
list_teams,get_team,search_teams) — your account's teams; pass a team ID when creating or assigning a study. - Consent forms (
list_consent_forms,search_consent_forms) — consent forms available to attach to a study via consent_form_id. - Candidate segments (
list_candidate_segments,get_candidate_segment,search_candidate_segments) — saved candidate filters; use a segment ID with search_candidates.
Common tool call parameters
Most list and search tools support these options:
- Pagination:
page(default 1),items(default 20, max 100),cursorfor continued pagination - Sorting:
orderBy— sort bycreatedAtorupdatedAt(default) - Date filtering: Exact time windows or relative durations
Use cases
Prep for a stakeholder readout
Pull recent studies, surface key highlights and insights, and get transcript excerpts, all without leaving your AI tool. Ask something like: "Summarize the top findings from our onboarding study and pull the strongest supporting quotes from transcripts."
Set up a study from scratch
Create an interview, survey, or unmoderated study, add screener questions with qualification logic and skip branching, assign moderators, configure the interview calendar, customize the invitation email, and send invitations to candidates — all through natural language prompts. Ask: “Create a new round robin interview study about onboarding with a $25 Amazon gift card incentive and a 10-participant cap, add a 5-question screener with skip logic, and invite our enterprise candidates.”
Build an unmoderated test
Stand up a prototype test, website test, card sort, or tree test by adding and ordering blocks. Try: “Create an unmoderated study with a card sort of these 12 features into 4 categories, then add a follow-up open text question.”
Catch up on research you missed
Search across studies and transcripts to quickly get up to speed. Try: "What studies have been completed in the last month? Give me a summary of each."
Find patterns across participants
Chain candidate lookups with transcript searches to spot themes. Example: "Which participants mentioned pricing concerns? What studies were they in, and what exactly did they say?"
Pull supporting evidence for a product decision
Search highlights and insights to build a case grounded in research. Ask: "Find all highlights related to navigation issues and summarize the common themes."
Review Screener Responses
Pull screener responses across studies to see how candidates qualified. Try: “Show me all screener responses for our pricing study. How many were qualified vs. disqualified, and what were the common disqualification reasons?”
Audit participant coverage
Check which candidates have been contacted, how often, and across which studies. Try: "Show me all studies that participant Jane Doe has been involved in and their outcomes."
Manage your research panel
Create and update candidate profiles, manage custom attributes, target saved segments, and ensure GDPR compliance with delete capabilities. Ask: “Update the department attribute for all candidates from the Q1 onboarding study to ‘Product.’
Troubleshooting
OAuth window doesn't appear? Make sure your browser allows popups from your MCP client. Some browsers block the OAuth redirect by default.
Tools not showing up? Restart your MCP client after saving the configuration. If tools still don't appear, confirm with your Great Question account team that your user has the feature enabled.
Permission errors? The MCP respects your existing Great Question access controls. If you can't see certain studies or sessions, check your permissions in the Great Question product.
Can I query against two different Great Question workspaces? Each MCP connector can only be linked to one workspace at a time. If you work across multiple workspaces, you have two options:
- Use a single connector and re-authenticate when switching. Disconnect the connector and authenticate it again to point it at a different workspace.
- Create a separate connector for each workspace. When you create a connector, you can give it a name to make the workspaces easy to tell apart, for example:
GQ-product-labGQ-dtx
Usage Tips
- Start broad, then narrow: use list tools first, then search with specific filters.
- Chain queries: get a study ID, then find its candidates, then retrieve their transcripts.
- Use full-text search: most search tools support searching within titles, descriptions, and content.
- Leverage pagination: for large result sets, use pagination to process data in batches.
- Combine filters: most search tools accept multiple filters for precise results.
- Let the AI chain writes: describe what you want end-to-end (e.g., “set up a study with a screener and invite these candidates”) and let your AI tool handle the individual tool calls.
Security & data handling
|
Authentication |
OAuth 2.1 with PKCE. No secrets stored on your device. |
|
Permissions |
Respects your existing Great Question access controls. You only see what you can already see in the product. |
|
Data scope |
Read and write over text-based data. The MCP can create, update, and delete candidates, studies, screeners, blocks, moderators, study messages, and participant shortlists, and can send screener invitations. No video, audio, or biometric data is transferred — recordings remain in the Great Question product. |
|
Data freshness |
Real-time. Queries hit the live API, not a cached or synced copy. |
|
Retention |
Response content is not stored or cached by default. Request metadata is retained per Great Question's existing policies. |
|
Third parties |
The MCP server runs on Great Question's infrastructure. No additional third-party processors are introduced. Once data is returned to your MCP client, it's handled by that client's data policies. |
For full privacy details, see our Privacy Policy
Still need help?
Reach out to us anytime in the app or email us at [email protected]!