Cribl Stream
The Cribl MCP Server enables AI assistants to interact with Cribl Stream deployments through a standardized interface. Developed by PebbleTek, this implementation provides tools for managing Cribl configurations including listing worker groups, retrieving and modifying pipeline configurations, accessing source definitions, and querying system metrics. The server supports both cloud-based and local authentication methods, automatically handles token acquisition and refresh, and includes intelligent group name resolution to simplify interactions. It's particularly valuable for DevOps teams and data engineers who need to monitor, troubleshoot, or reconfigure their Cribl Stream data processing workflows through natural language interactions.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/pebbletek/cribl-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Cribl Stream 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.