# DataPulseSSE

> DataPulseSSE — mikolajkocik-datapulsesse. Use this tool when you need to stream asynchronous responses to clients, such as real-time updates or event-driven data. DataPulseSSE solves problems related to efficient and scalable data streaming, providing a lightweight and secure solution with optional JWT authentication. It accepts client sessions and authentication tokens as input, and outputs streamed data via Server-Sent Events, ideal for use cases requiring real-time data updates.

Canonical page: https://skillsregistry.net/skills/mikolajkocik-datapulsesse  
JSON: https://api.skillsregistry.net/v1/skills/mikolajkocik-datapulsesse

## Description

DataPulseSSE is a lightweight FastAPI-based MCP server that uses Server‑Sent Events to stream asynchronous responses per client session. It includes simple Bearer auth (optional JWT), sample tools (get_time, fetch_url), and an adapter for hosting on Azure Functions.

## Trust

- **Trust score (0–1):** 0.93
- **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/MikolajKocik/DataPulseSSE)

## 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": "mikolajkocik-datapulsesse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikolajkocik-datapulsesse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikolajkocik-datapulsesse/pull`

---
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