> ## Documentation Index
> Fetch the complete documentation index at: https://docs.userintuition.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# User Intuition MCP Server

> Give an AI agent the tools and rules to design studies, recruit participants, manage interviews, and analyze findings.

User Intuition's MCP server exposes the complete research workflow to AI agents: **50 tools on every transport**, covering the versioned public API plus account context, catalogs, interview usage, and a read-only study review app.

## MCP tools and Skills

The MCP server gives an agent the **tools**. A User Intuition Skill gives it the **workflow**: when to ask for Panel versus BYOP recruitment, how to conduct the Customize Plan conversation, when to dry-run cost, and when confirmation is required.

<CardGroup cols={2}>
  <Card title="Connect the MCP server" icon="plug" href="/mcp-server/quickstart">
    Configure Claude, Cursor, VS Code, or ChatGPT and verify the connection.
  </Card>

  <Card title="Install a research Skill" icon="wand-magic-sparkles" href="/skills/overview">
    Teach your agent a repeatable study-creation or analysis workflow.
  </Card>
</CardGroup>

## One surface on every transport

For read-only exploration in Claude's directory, use the separate [Claude directory research connector](/mcp-server/claude-directory).

* **Streamable HTTP** accepts OAuth for interactive clients and organization API keys for headless clients. Connect to `https://mcp.userintuition.ai/mcp`.
* **stdio** remains available for Claude Desktop, Cursor, Claude Code, VS Code, and other local clients. It authenticates with a `ui_sk_` API key.

Both transports expose the same 50 tools. Choose the authentication method that fits the client.

### Smaller profiles

For the common study → interview → report workflow, connect to `https://mcp.userintuition.ai/core/mcp` (33 tools). It omits webhook, feasibility, external-panel, and platform-admin administration. For existing research without write actions, connect to `https://mcp.userintuition.ai/read-only/mcp` (25 tools). The `https://mcp.userintuition.ai/compact/mcp` profile keeps the research workflow and groups less common webhook, feasibility, and external-panel operations into 41 tools. Each URL has its own OAuth protected-resource metadata, so authorize the specific URL your client uses. The full `/mcp` URL remains available for all 50 tools.

Local stdio clients can pass `--profile core`, `--profile read-only`, or `--profile compact` after the package name. The default is the full profile. Resource and prompt support remains available on these profiles.

Measured from the complete `tools/list` response in the cited-answer and cursor MCP change set:

| Profile | Tools | Payload bytes | Approx. tokens |
| - | -: | -: | -: |
| Full | 50 | 121,538 | 30,385 |
| Core | 33 | 88,649 | 22,162 |
| Read-only | 25 | 67,216 | 16,804 |
| Compact | 41 | 106,850 | 26,713 |
| Directory | 8 | 31,752 | 7,938 |

The token estimate divides bytes by four; actual model context usage varies by host and tokenizer. CI checks each profile against its payload budget.

## Tool groups

| Group | Tools | What it covers |
| - | -: | - |
| Account | 2 | Effective workspace, payment readiness, and platform-admin organization search |
| Studies | 20 | Create, customize, review, estimate, launch, pause, stop, report on, search, and answer questions across studies |
| External panels | 4 | Configure a customer-supplied panel bridge for a BYOP study |
| Participants | 7 | Create and manage BYOP invitations and rewards |
| Interviews | 4 | Read or delete interviews and inspect usage |
| Panel feasibility | 4 | Specialist feasibility review |
| Webhooks | 8 | Create, inspect, test, and remove event subscriptions |
| Configuration & catalogs | 1 | Targeting attributes; other catalogs are MCP resources |

The [tool reference](/mcp-server/tools/studies) documents every registered tool. The [study-creation playbook](/mcp-server/guides/playbook) documents the behavioral rules agents should follow.

The server also exposes [attachable study and report resources](/mcp-server/research-resources) for clients that show MCP resources in the conversation. These resources read the same authenticated public API as the research tools.

## Safety model

The server advertises MCP safety annotations for every tool. Agents should also follow these product rules:

1. Use `customize_study` for the plan, audience, screeners, and concept material; do not reconstruct those fields in the MCP host.
2. Return the complete persisted study plan and obtain approval of its current version before creating BYOP participants, sharing an external-panel entry link, or launching paid Panel recruitment.
3. Use `estimate_panel`, show the complete estimate, and carry its `estimate_id` into an approved paid panel launch.
4. Require explicit user confirmation before rewards, webhooks, stopping fieldwork, or deleting studies, participants, or interviews.

## Runnable developer examples

Use the [developer examples](/api-reference/developer-examples) to inspect study execution, report retrieval, and evidence search. The public repository includes fictional no-spend fixtures, a matching MCP/CLI walkthrough, and release compatibility notes.

## Agent homepage

Start at [research.userintuition.ai](https://research.userintuition.ai/) for the three research workflows, connection options, machine-readable guidance, and public examples. This documentation remains the detailed operation reference.


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