Sidekiq
Enables large language models to interact with Sidekiq queues, statistics, and failed jobs through a standardized API.
About
Sidekiq MCP is a plugin that exposes a Model Context Protocol (MCP) server, allowing Large Language Models (LLMs) to seamlessly manage and monitor Sidekiq background job processes. It provides a comprehensive set of tools for inspecting queue health, viewing job statistics, managing individual jobs, and interacting with the Sidekiq environment through natural language prompts, simplifying operations and diagnostics.
Key Features
- Supports real-time streaming of Sidekiq statistics via Server-Sent Events (SSE).
- 3 GitHub stars
- Provides a standardized MCP server for LLM integration with Sidekiq.
- Offers comprehensive Sidekiq statistics and monitoring for queues, jobs, and workers.
- Enables detailed inspection of queues and individual job details.
- Facilitates management of jobs through actions like retry, delete, reschedule, and queue clearing.
Use Cases
- Query Sidekiq for current status, queue health, or job error rates using natural language prompts.
- Manage failed, scheduled, or dead jobs by retrying, deleting, or moving them within Sidekiq sets.
- Gain insights into busy workers, queue backlogs, and job class performance directly via an LLM interface.
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