# Gateco

> Gateco — ai-gateco-gateco. Use this tool when you need to securely retrieve organizational knowledge while enforcing access policies and permissions. Gateco solves the problem of unauthorized data access by providing a permission-aware interface for AI systems to access organizational information. It takes in queries and access credentials as inputs and returns relevant, policy-compliant data as output.

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

## Description

Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.8.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.gateco%2Fgateco)
- **Repository:** <https://github.com/fortisil/gateco-sdk-python>

## 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": "ai-gateco-gateco"
    }
  }
}
```

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