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Splunk

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Enables AI assistants to interact with Splunk Enterprise and Splunk Cloud for data searching, index management, and server information retrieval via a standardized interface.

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This server acts as a Model Context Protocol (MCP) gateway, allowing AI assistants to seamlessly interact with Splunk Enterprise and Splunk Cloud environments. It provides a standardized interface for executing SPL queries, managing Splunk indexes and saved searches, and retrieving crucial server and application information. Built with modern Python async/await patterns and Pydantic models, it ensures type safety and offers flexible authentication, empowering AI-driven operations within Splunk ecosystems.

Key Features

01Retrieve and manage Splunk saved searches
02Access Splunk server details and health status
03Execute SPL (Search Processing Language) queries with configurable time ranges
04Browse installed Splunk applications
050 GitHub stars
06List and filter available Splunk indexes

Use Cases

01Provide AI-driven insights by allowing AI models to search and understand Splunk data
02Automate retrieval of security logs or operational metrics from Splunk for AI analysis
03Integrate Splunk data querying and management capabilities into AI assistant platforms