# GlassFlow MCP Server

> Use this tool when you need to manage and diagnose streaming pipelines, as it provides a Model Context Protocol server for creating, reading, updating, and deleting pipelines, as well as querying metrics, searching logs, and running diagnostic tools. The GlassFlow MCP Server exposes these capabilities as MCP tools that can be accessed by AI agents over Server-Sent Events (SSE) transport. It is ideal for use cases that require real-time monitoring and control of data pipelines.

Canonical page: https://skillsregistry.net/skills/glassflow-glassflow-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/glassflow-glassflow-mcp-server

## Description

Model Context Protocol server for managing and diagnosing GlassFlow streaming pipelines, exposing pipeline CRUD, metrics queries, log search, and a composite diagnostic tool as MCP tools that AI agents can call over SSE transport.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zl0zs76291)
- **Repository:** <https://github.com/glassflow/glassflow-mcp-server>

## 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": "glassflow-glassflow-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glassflow-glassflow-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glassflow-glassflow-mcp-server/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
