# api-dev-agent-mcp

> api-dev-agent-mcp — okarin25-api-dev-agent-mcp. Use this tool when you need to automate the generation of production-grade async FastAPI services, following Clean Architecture principles, to rapidly develop CRUD APIs with self-healing verification and OpenAPI spec ingestion. It solves problems of manual API development, testing, and maintenance, providing a streamlined interface for ingesting OpenAPI specs and outputting verified, production-ready APIs. Ideal for use cases requiring rapid, reliable, and scalable API development with minimal manual intervention.

Canonical page: https://skillsregistry.net/skills/okarin25-api-dev-agent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/okarin25-api-dev-agent-mcp

## Description

MCP server that automates the generation of production-grade async FastAPI services following Clean Architecture, with self-healing pytest-based verification and OpenAPI spec ingestion for rapid CRUD API development.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k984d2hm81)
- **Repository:** <https://github.com/okarin25/api-dev-agent-mcp>

## 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": "okarin25-api-dev-agent-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/okarin25-api-dev-agent-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/okarin25-api-dev-agent-mcp/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