# Context-API

> Context-API — editorialos-context-api. Use this tool when you need to manage memory and brand context for AI agent systems, providing a multi-tenant solution with automated tool generation and secure per-workspace isolation. It solves problems related to context management, data isolation, and evaluation harnessing, ideal for applications requiring scalable and secure AI agent systems. The Context-API takes in OpenAPI specs and outputs 39 auto-generated tools, with PostgreSQL database support and git integration.

Canonical page: https://skillsregistry.net/skills/editorialos-context-api  
JSON: https://api.skillsregistry.net/v1/skills/editorialos-context-api

## Description

Memory and brand-context layer for AI agent systems. Multi-tenant MCP server — 39 tools auto-generated from a live OpenAPI spec. PostgreSQL, per-workspace isolation, scored eval harness.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/EditorialOS/Context-API)

## 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": "editorialos-context-api"
    }
  }
}
```

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