# test_mcp

> test_mcp — mr-body-test-mcp. Use this tool when you need to expose model-based resources and tools through a streamable HTTP interface, solving problems of model deployment and accessibility. It takes in model context and prompt inputs, outputting relevant resources and tools. Ideal for use cases requiring scalable and efficient model serving, such as AI model deployment and testing.

Canonical page: https://skillsregistry.net/skills/mr-body-test-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mr-body-test-mcp

## Description

Este projeto é um servidor MCP (Model Context Protocol) construído com FastMCP, que expõe ferramentas, recursos e prompts através de HTTP streamável.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mr-body/test_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": "mr-body-test-mcp"
    }
  }
}
```

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