MCP-Watch provides visibility and governance for AI agents operating against Splunk through the Model Context Protocol. The app surfaces every SPL query executed by MCP servers, flags anti-patterns such as wildcard index searches and overly wide time ranges, and reports on REST endpoint usage. It reads exclusively from Splunk's built-in _audit and _internal indexes, requiring no additional data ingestion or dependencies. Administrators configure a lookup table with the Splunk usernames their MCP servers authenticate as, and the app then tracks query volume, identifies quality issues, and enables per-user tool access governance. Four dashboards present MCP activity across operational and compliance dimensions, while scheduled searches and alerts provide ongoing monitoring of agent behavior.
Categories
IT Operations, Artificial Intelligence
Resources
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