# Apache Beam MCP Server

> Use this tool when you need to manage and control Apache Beam data pipelines across various runners, such as Flink, Spark, Dataflow, and Direct, to streamline data processing workflows. It solves problems related to pipeline management, scalability, and portability by providing a unified interface via the Model Context Protocol. This tool accepts pipeline definitions and configuration inputs, and outputs managed pipeline executions, making it ideal for use cases requiring flexible and efficient data processing.

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

## Description

Enables AI-controlled management of Apache Beam data pipelines across different runners (Flink, Spark, Dataflow, Direct) via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## 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/dnhvt7b2dq)
- **Repository:** <https://github.com/souravch/beam-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": "souravch-beam-mcp-server"
    }
  }
}
```

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