# Hexa

> Hexa — ai-hexahq-hexa. Use this tool when you need to centralize company knowledge, streamline workflows, and integrate connected apps for AI systems. Hexa solves problems of data fragmentation and inefficiency by providing a shared platform for AI-driven workflows. It takes in disparate data sources and AI outputs, and provides a unified interface for seamless collaboration and knowledge management.

Canonical page: https://skillsregistry.net/skills/ai-hexahq-hexa  
JSON: https://api.skillsregistry.net/v1/skills/ai-hexahq-hexa

## Description

Shared company knowledge, workflows, and connected apps for the AIs your team already uses.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.hexahq%2Fhexa)

## Use it

MCP endpoint published by the skill: `https://mcp.hexahq.ai/mcp`

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": "ai-hexahq-hexa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-hexahq-hexa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-hexahq-hexa/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