# contextGate

> contextGate — samuelsupe-contextgate. Use this tool when you need to integrate and manage semantic data from various sources, such as databases and HTTP APIs, to provide AI agents with verified and controlled access to shared business ontologies. It solves problems of data inconsistency and security by offering verified query templates and audit logs. Ideal for use cases requiring secure and standardized data exchange, with inputs including query templates and ontologies, and outputs consisting of curated data and access logs.

Canonical page: https://skillsregistry.net/skills/samuelsupe-contextgate  
JSON: https://api.skillsregistry.net/v1/skills/samuelsupe-contextgate

## Description

Semantic Data Gateway for AI Agents: databases and HTTP APIs, shared business ontologies, verified query templates, controlled MCP access and audit logs. Built in Go.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SamuelSupe/contextGate)

## 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": "samuelsupe-contextgate"
    }
  }
}
```

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