Splunk
The Splunk MCP tool provides a natural language interface to Splunk Enterprise/Cloud operations, enabling AI assistants to execute searches, manage indexes, handle users, and perform KV store operations. Built with Python using FastMCP and the Splunk SDK, it features async support for better performance, detailed logging with emoji indicators, and flexible SSL configuration options. The implementation can run in both STDIO mode for command-line integration and SSE mode for web server integration, making it particularly valuable for security analysts and system administrators who need to query and manage Splunk resources through conversational interfaces.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/livehybrid/splunk-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Splunk from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.