MCP Server for Splunk Platform
The Model Context Protocol (MCP) is an open standard and framework that enables seamless, secure, and standardized two-way communication between AI applications (like large language models) and external data sources or tools. It acts as a universal adapter allowing AI systems to access, execute, and integrate functionalities from diverse systems through a common protocol, simplifying data sharing and tool interoperability without custom coding for each integration.
Splunk's Model Context Protocol (MCP) server leverages this to provide a standardized, secure, and scalable interface to connect AI assistants, agents, and other intelligent systems with data in the Splunk platform for both Enterprise & Cloud customers in beta.
🔑 Key Features
- Universal Connectivity
Seamlessly connects AI agents and tools to Splunk data resources in a secure and efficient manner.
- Enterprise-Grade Security
Includes built-in authentication, authorization, and Role-Based Access Control (RBAC).
- Rapid Deployment
Offers a plug-and-play solution, eliminating the need for custom integrations.
⚙️ Core Capabilities
- Explore the Data
Navigate and interact with Splunk data effortlessly.
- Discover Knowledge Objects
Identify and access relevant saved searches, lookups, and other knowledge assets.
- Execute Searches
Run powerful Splunk queries to extract insights and drive intelligent workflows.
- Leverage AI capabilities from Splunk’s AI Assistant for SPL & MLTK
SPL search generation from natural language, search optimization, search explanation, retrieve MLTK models and algorithms.
Resources
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