# streamble-http-mcp-client

> streamble-http-mcp-client — purunep-streamble-http-mcp-client. Use this tool when you need to build a real-time conversational chatbot that serves food recipes, as it leverages Streamable HTTP, Semantic Kernel, and Azure OpenAI to provide personalized recipe suggestions via an MCP server interface. This tool solves problems related to dynamic content generation and user engagement, accepting user input and outputting relevant recipes. Ideal for use cases requiring interactive and context-aware recipe discovery.

Canonical page: https://skillsregistry.net/skills/purunep-streamble-http-mcp-client  
JSON: https://api.skillsregistry.net/v1/skills/purunep-streamble-http-mcp-client

## Description

Real-time conversational chatbot using Streamable HTTP, Semantic Kernel, and Azure OpenAI to discover and serve food recipes via an MCP server.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/purunep/streamble-http-mcp-client)

## 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": "purunep-streamble-http-mcp-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/purunep-streamble-http-mcp-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/purunep-streamble-http-mcp-client/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