Sidekiq
Sidekiq MCP server that enables AI assistants to monitor, manage, and troubleshoot Sidekiq background job queues through a comprehensive set of tools for statistics, job inspection, and queue operations. Built by Andrew Nesbitt, the implementation provides 20+ tools including real-time monitoring with Server-Sent Events, job retry/deletion/rescheduling capabilities, queue health analysis, and worker utilization tracking, with automatic Rails integration via Railtie and flexible authentication supporting both Bearer tokens and HTTP Basic Auth. Designed for developers and operations teams who need conversational access to Sidekiq infrastructure without manual dashboard navigation, enabling natural language job queue management, failure investigation, and performance optimization workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/andrew/sidekiq-mcp
- Author type
- human
- Updated
- 2026-05-03
Use via MCP
Resolve Sidekiq 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.