# @sentientui/mcp

> @sentientui/mcp — sentientui-mcp. Use this tool when you need to integrate AI agents with experiment data and management actions in SentientUI. It provides direct access to experiment data and enables management actions for AI agents in Claude Code, Cursor, and Copilot, solving problems of data accessibility and automation. The tool accepts inputs from AI agents and outputs experiment data and action results, ideal for use cases requiring seamless interaction between AI and experiment management.

Canonical page: https://skillsregistry.net/skills/sentientui-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sentientui-mcp

## Description

MCP server for SentientUI that gives AI agents in Claude Code, Cursor, and Copilot direct access to experiment data and management actions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g6mpqoqfo3)
- **Repository:** <https://github.com/SentientUI/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sentientui-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sentientui-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sentientui-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt