Splunk
Enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
About
The Splunk tool provides a standardized interface for AI assistants to securely interact with Splunk Enterprise or Cloud, implementing the Model Context Protocol (MCP). It allows AI tools to execute SPL queries, access Splunk data, and validate queries with built-in safety guardrails, including data sanitization and risk scoring. This facilitates seamless and secure integration between AI assistants and your Splunk environment, offering multiple output formats and supporting various transport mechanisms.
Key Features
- Access indexes, saved searches, and execute complex Splunk queries
- Automatic validation to prevent destructive or resource-intensive queries
- Supports both SSE (Server-Sent Events) and stdio transports
- Execute SPL queries with multiple output formats (JSON, Markdown, CSV, Summary)
- 1 GitHub stars
- Automatic sanitization of sensitive data (credit cards, SSNs)
Use Cases
- Automating secure and validated execution of Splunk queries by large language models.
- Integrating Splunk data and capabilities into AI-driven workflows for AI assistants like Claude or GitHub Copilot.
- Providing a controlled and safe interface for AI assistants to interact with sensitive Splunk environments.
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