# mcp-streamable-http2

> Use this tool when you need to stream data over HTTP/2, enabling efficient and concurrent communication for applications such as live updates, real-time analytics, or collaborative editing. It solves problems related to slow data transfer, high latency, and limited concurrency in traditional HTTP protocols. This tool takes in data streams as input and outputs them over HTTP/2, ideal for use cases requiring high-performance, bi-directional communication.

Canonical page: https://skillsregistry.net/skills/whybelab-mcp-streamable-http2  
JSON: https://api.skillsregistry.net/v1/skills/whybelab-mcp-streamable-http2

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-04-27

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/whybelab/mcp-streamable-http2)
- **Repository:** <https://github.com/whybelab/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": "whybelab-mcp-streamable-http2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whybelab-mcp-streamable-http2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whybelab-mcp-streamable-http2/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