UXArmy
Run, read and analyze your UXArmy user research
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
The UXArmy MCP server connects your AI assistant to your UXArmy account. You can browse projects and studies, read results and participant responses, and create or launch unmoderated studies, all from a chat. Key features Research access: list and search projects, studies and workspaces across your organization. Results analysis: read task-based test results, tree tests, card sorts, survey responses and interview sessions, then summarize findings, pain points and themes. Study authoring: create and edit surveys and manage projects. Launch control: check panel availability and pricing, then launch a study to participants. The assistant asks you to confirm before it spends credits. Account insight: see your credit balance, credit usage history, subscription and workspace members.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-07
- Tool count
- 27
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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No spam. Unsubscribe any time.
What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
27 tools agents can invoke
UXArmy Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve UXArmy's Claude Connector discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.