# Candice AI

> Use this tool when you need to unlock actionable intelligence from unstructured business documents with guaranteed accuracy and transparency. Candice AI connects AI agents to a document intelligence platform, transforming documents into trusted data with source-level citations and confidence scores. Ideal for enterprise AI operations requiring exhaustive document processing, audit trails, and data sovereignty.

Canonical page: https://skillsregistry.net/skills/candiceai  
JSON: https://api.skillsregistry.net/v1/skills/candiceai

## Description

An MCP server that connects AI agents to Candice AI's document intelligence platform, enabling access to their trust layer for enterprise AI operations. The platform transforms unstructured business documents into actionable intelligence with 100% accuracy guarantees, source-level citations, and governance-ready confidence scores. Features include exhaustive document processing across entire corpora, complete audit trails for every extraction, and full data sovereignty through on-premise or private cloud deployment options.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/candiceai)

## 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": "candiceai"
    }
  }
}
```

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