# agentify

> agentify — harindukavishka-agentify. Use this tool when you need to integrate your API with various agent frameworks, as it converts OpenAPI specs into nine standard AI agent interfaces, solving interoperability issues and streamlining API integration. It takes OpenAPI specifications as input and outputs standardized agent interfaces, enabling seamless communication between APIs and agent frameworks. Use agentify to efficiently bridge the gap between your API and multiple agent ecosystems.

Canonical page: https://skillsregistry.net/skills/harindukavishka-agentify  
JSON: https://api.skillsregistry.net/v1/skills/harindukavishka-agentify

## Description

Convert OpenAPI specs into nine standard AI agent interfaces to integrate your API with various agent frameworks efficiently.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/harindukavishka/agentify)

## 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": "harindukavishka-agentify"
    }
  }
}
```

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