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    A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows.
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    Enables access to Amazon Managed Prometheus workspaces through natural language queries. Supports listing workspaces, executing PromQL queries, and retrieving workspace details and metrics with AWS authentication.
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    Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.
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    Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
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    An MCP server for Prometheus-based monitoring that enables users to query system metrics, resource usage, and PostgreSQL health across multiple environments. It supports both predefined diagnostic checks and custom PromQL execution for comprehensive server monitoring and troubleshooting.
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    A minimal network monitoring MCP tool for Playwright browser automation. Just 5 simple tools to capture, filter, and analyze network traffic during web automation with MCP context efficiency.
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    MIT