MCP Apache Spark History Server

by kubeflow• 206•• Scanned•Claim this listing•Request removal
Coding Agentsapache sparkbig datadata processingkubernetesmcp

MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

MCP Apache Spark History Server is an open-source mcp server by kubeflow, written mainly in Python, with 206 GitHub stars and the Apache-2.0 license. Its code was last updated Oct 30, 2026. The latest PyPI release is mcp-apache-spark-history-server 1.0.2, published Oct 16, 2026, with 135 downloads last week.

Scan summary: scanned Nov 5, 2026 at commit f00ee51. Seen able to connect to the internet. Scan policy

How to install MCP Apache Spark History Server

Built from the start command in the project's README: uvx --from mcp-apache-spark-history-server spark-mcp. Check the README for required keys or settings.

Claude Code · Terminal
claude mcp add mcp-apache-spark-history-server -- uvx --from mcp-apache-spark-history-server spark-mcp
Claude Desktop · claude_desktop_config.json
{
  "mcpServers": {
    "mcp-apache-spark-history-server": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-apache-spark-history-server",
        "spark-mcp"
      ]
    }
  }
}
Cursor · .cursor/mcp.json
{
  "mcpServers": {
    "mcp-apache-spark-history-server": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-apache-spark-history-server",
        "spark-mcp"
      ]
    }
  }
}
VS Code · Terminal
code --add-mcp '{"name":"mcp-apache-spark-history-server","command":"uvx","args":["--from","mcp-apache-spark-history-server","spark-mcp"]}'

What MCP Apache Spark History Server can touch

  • Run shell commandsLikely, from its own description
  • Run dynamic codeNot seen in this scan
  • Read or write filesNot seen in this scan
  • Read environment and secretsNot seen in this scan
  • Control a web browserNot seen in this scan
  • Connect to databasesNot seen in this scan
  • Read or send messagesNot seen in this scan
  • Touch money or tradingNot seen in this scan
  • Connect to the internetFound in the code by our scan

"Not seen" means our checks did not find it, and the tool may still do it. Covers commit f00ee51, Nov 5, 2026. See the scan policy.

Before you install MCP Apache Spark History Server

AgenticMart scanned MCP Apache Spark History Server on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.

What it can access

  • An MCP server is a program your AI app starts and talks to. A local one runs with your user's permissions: it can see the files, environment variables and network your account can.
  • Based on its description and topics, it likely needs to run shell commands.
  • Based on its description and topics, it likely needs to act on cloud infrastructure.

Before you install

  1. Keep tool-call approval on, and run it in a container if you can.
  2. Use a role with only the permissions it needs, never an admin key.
  3. Pin the version you reviewed instead of always installing the latest release.
  4. Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
  • Maintained by kubeflow on GitHub, 206 stars and 82 forks. Popularity is not proof of safety.
  • Last code change: Oct 30, 2026.
  • Open-source license: Apache-2.0.

MCP Apache Spark History Server is an open-source mcp server by kubeflow, written mainly in Python. MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

At a glance

Stars
206
Forks
82
Language
Python
License
Apache-2.0
Created
Jun 2025
Last update
Oct 30, 2026
Type
MCP Server
Price
Free

Topics

apache-sparkbig-datadata-processingkubernetesmcpmcp-server

Questions about MCP Apache Spark History Server

What is MCP Apache Spark History Server?

MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

Who maintains MCP Apache Spark History Server?

MCP Apache Spark History Server is maintained by kubeflow on GitHub (kubeflow/mcp-apache-spark-history-server). AgenticMart lists it from public repository data.

Is MCP Apache Spark History Server safe to use?

AgenticMart scanned MCP Apache Spark History Server on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.

What license does MCP Apache Spark History Server use?

It is published under the Apache-2.0 license.

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