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mcp-apache-spark-history-server vs time

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mcp-apache-spark-history-server
by kubeflow
time
by modelcontextprotocol
Stars★ 170★ 85,748
30d uses
Score5077
Official
Categories
Developer ToolsMonitoringAI / LLM Tools
ProductivityDeveloper ToolsCommunication
LanguagePythonTypeScript
Last committhis monththis month

mcp-apache-spark-history-server · Summary

MCP Server connecting AI agents to Apache Spark History Server for job analysis and performance monitoring.

time · Summary

A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.

mcp-apache-spark-history-server · Use cases

  • AI agents investigating failed or slow Spark applications using natural language queries
  • Comparing performance metrics between different Spark job runs to identify regressions
  • Automating Spark job monitoring and alerting through integration with AI agents

time · Use cases

  • Assisting with international meeting scheduling across time zones
  • Providing real-time time information for location-based queries
  • Enabling time conversion for travel planning and itineraries

mcp-apache-spark-history-server · Install

Install with pip:

pip install mcp-apache-spark-history-server
spark-mcp

Run directly with uvx (no install needed):

uvx --from mcp-apache-spark-history-server spark-mcp

Configuration via config.yaml (supports multiple servers):

servers:
  local:
    default: true
    url: "http://your-spark-history-server:18080"
    auth:
      username: "user"
      password: "pass"
mcp:
  transports:
    - streamable-http
  port: "18888"

Claude Desktop configuration:

{
  "mcpServers": {
    "spark": {
      "command": "spark-mcp",
      "args": []
    }
  }
}

time · Install

Installation Options

**Using uv (recommended):**

uvx mcp-server-time

**Using PIP:**

pip install mcp-server-time
python -m mcp_server_time

**Configure for Claude Desktop:**

{
  "mcpServers": {
    "time": {
      "command": "uvx",
      "args": ["mcp-server-time"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.