# mcp-streamable-http

> mcp-streamable-http — invariantlabs-ai-mcp-streamable-http. Use this tool when you need to establish a streamable HTTP connection between a client and server, enabling efficient data exchange and real-time communication. It solves problems related to asynchronous data transfer, live updates, and bi-directional communication over HTTP. The tool accepts input in the form of HTTP requests and returns output as a stream of data, making it suitable for use cases requiring real-time data processing and exchange.

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

## Description

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

## Trust

- **Trust score (0–1):** 0.81
- **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/invariantlabs-ai/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": "invariantlabs-ai-mcp-streamable-http"
    }
  }
}
```

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