# mcp-opiny

> Use this tool when you need to interact with the Opiny API, enabling seamless communication through MCP with support for local STDIO and remote HTTP Stream transports. It solves problems related to integrating Opiny services into applications, providing a flexible interface for sending and receiving data. Ideal for use cases requiring Opiny API access, it accepts input through MCP and outputs data via STDIO or HTTP streams.

Canonical page: https://skillsregistry.net/skills/opinysaas-mcp-opiny  
JSON: https://api.skillsregistry.net/v1/skills/opinysaas-mcp-opiny

## Description

Enables interaction with the Opiny API through MCP, supporting both local STDIO and remote HTTP Stream transports.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/futrk4hvgs)
- **Repository:** <https://github.com/opinysaas/mcp-opiny>

## 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": "opinysaas-mcp-opiny"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opinysaas-mcp-opiny` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opinysaas-mcp-opiny/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