# Test MCP Server

> Use this tool when you need to expose your API as tools to large language model (LLM) clients, solving integration and accessibility issues for both local and remote applications. It supports dual-transport functionality, accepting inputs through stdio for local clients and HTTP/SSE for remote clients, and outputs API tools compatible with various LLM platforms. This server is ideal for use cases requiring seamless communication between APIs and LLM clients, such as Claude Desktop or OpenAI's Responses API.

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

## Description

A dual-transport MCP server that exposes your API as tools to LLM clients, supporting both stdio transport for local clients like Claude Desktop and HTTP/SSE transport for remote clients like OpenAI's Responses API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/huzixwf4ge)
- **Repository:** <https://github.com/mokesmokane/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": "mokesmokane-mcp"
    }
  }
}
```

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