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deslicer/mcp-for-splunk

Deployment & DevOps

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27 stars 13 forks 品質 83 トレンド 31Apache-2.0

MCP Server for integrating with Splunk Enterprise

概要

Transform your Splunk instance into an AI-native platform. Our community-driven MCP server bridges Large Language Models and Splunk Enterprise/Cloud with 20+ tools, 16 resources (including CIM data models), and production-ready security—all through a single, standardized protocol. - : One protocol connects any AI to Splunk data - : No more months of custom API development - : Client-scoped access with no credential exposure - : Intelligent troubleshooting agents that work like experts - : Extensible framework with contribution examples - Transform reactive firefighting into intelligent, systematic problem-solving with specialist AI workflows. - Python 3.10+ and UV package manager - Nodejs (optional used for mcp inspector) - Docker (optional but recommended for full stack) - Splunk instance with API access (or use included Docker Splunk) python uv run mcp-server --local --detached uv run mcp-server --test uv run mcp-server --test --detailed bash git clone https://github.

README

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MCP Server for Splunk

Enable AI agents to interact seamlessly with Splunk environments through the Model Context Protocol (MCP)

Transform your Splunk instance into an AI-native platform. Our community-driven MCP server bridges Large Language Models and Splunk Enterprise/Cloud with 20+ tools, 16 resources (including CIM data models), and production-ready security—all through a single, standardized protocol.

🌟 Why This Matters

  • 🔌 Universal AI Connection: One protocol connects any AI to Splunk data
  • ⚡ Zero Custom Integration: No more months of custom API development
  • 🛡️ Production-Ready Security: Client-scoped access with no credential exposure
  • 🤖 AI-Powered Workflows: Intelligent troubleshooting agents that work like experts
  • 🤝 Community-Driven: Extensible framework with contribution examples

🚀 NEW: AI-Powered Troubleshooting Workflows - Transform reactive firefighting into intelligent, systematic problem-solving with specialist AI workflows.

📋 Table of Contents

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者?mcpskill.org のガイドから始めましょう →