# OMCP

> Use this tool when you need to integrate AI agents with your API seamlessly, converting OpenAPI specs into MCP servers to enable effortless communication. It solves the problem of manual tool definition and integration code writing, streamlining the process. By taking OpenAPI specs as input and producing MCP servers as output, OMCP simplifies API integration in various development contexts.

Canonical page: https://skillsregistry.net/skills/cal3bdev-omcp  
JSON: https://api.skillsregistry.net/v1/skills/cal3bdev-omcp

## Description

Converts an OpenAPI spec into an MCP server, enabling AI agents to call your API without writing tool definitions or integration code.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qgb0c3qsn6)
- **Repository:** <https://github.com/cal3bdev/omcp>

## 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": "cal3bdev-omcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cal3bdev-omcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cal3bdev-omcp/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