# containerized-mcp-streamable-http

> containerized-mcp-streamable-http — xavierxmorris-containerized-mcp-streamable-http. Use this tool when you need to interact with GitHub Copilot via a lightweight, stateless HTTP interface, or require a minimal MCP server for testing and development purposes, accepting JSON inputs and producing JSON outputs. It solves problems related to streamlining GitHub Copilot integration and provides tools like echo and server_info for debugging and information retrieval. Ideal for use cases where a containerized, easy-to-deploy MCP server is necessary.

Canonical page: https://skillsregistry.net/skills/xavierxmorris-containerized-mcp-streamable-http  
JSON: https://api.skillsregistry.net/v1/skills/xavierxmorris-containerized-mcp-streamable-http

## Description

A minimal MCP server running in a container that connects to GitHub Copilot over stateless, JSON-only Streamable HTTP, exposing echo and server_info tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/chkfvvi1cr)
- **Repository:** <https://github.com/xavierxmorris/containerized-mcp-streamable-http>

## 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": "xavierxmorris-containerized-mcp-streamable-http"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xavierxmorris-containerized-mcp-streamable-http` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xavierxmorris-containerized-mcp-streamable-http/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