Splunk
MCP server for Splunk by Deslicer that provides AI assistants with direct access to Splunk Enterprise through the Splunk SDK, enabling search execution, health monitoring, user management, and alert analysis. Built with Python and FastMCP, it features a modular tool architecture with core Splunk operations, community-contributed tools for specialized use cases, and workflow-based troubleshooting systems with OpenAI integration for automated analysis and summarization. The implementation includes Docker deployment with Traefik routing, hot reload development support, comprehensive testing, and both production and development configurations, making it useful for DevOps teams, security analysts, and system administrators who need to integrate Splunk data analysis and monitoring capabilities directly into their AI-powered workflows without switching between applications.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/deslicer/mcp-for-splunk
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.