HOW IT WORKS
Deliver Splunk context to your LLMs with the Splunk MCP Server
Empower your teams — from SOC analysts to DevOps engineers — to work smarter, automate tasks, and gain faster insights.
Enable AI agents and LLMs to securely access Splunk data. Allow AI assistants, such as Claude or ChatGPT, to “talk” to Splunk Cloud Platform using natural language to access valuable insights from your data.
Whether you’re a security analyst hunting for threats, a DevOps engineer monitoring applications and infrastructure, or a business leader seeking more data-driven decisions, Splunk MCP Server can help.
Ensure AI interactions adhere to your Splunk access controls, preventing unauthorized data exposure. Robust auditing, logging, and input validation helps you monitor malicious payloads or command injection attempts.
Allow AI to execute and manage Splunk searches and create reports. The Splunk MCP Server automates log analysis, generates real-time alerts, or retrieves index metadata with simple commands like, “List all Splunk indexes and their sourcetypes.”
Query Splunk for real-time threat intelligence, letting AI execute the search and build a report, reducing response time.
Track performance trends and drive resilience with AI-first observability. Splunk MCP Server can help pull data, visualize it, and streamline monitoring tasks.
Accelerate insights by correlating business metrics and context with Splunk data and other data sources to control usage and costs.
Connect something like Confluence MCP server, containing Splunk system and data organizational knowledge, with Splunk MCP Server, to deliver more accurate insights.
Use an LLM client with Splunk’s AI Toolkit to quickly detect anomalies across CPU, GPU, memory, disk usage, and more to generate a summary and take action.
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