data-ai MCP Server
Atlassian-based multi-department AI workflow automation platform: Temporal workers, MCP integration, webhook gateway, admin dashboard and Streamlit UI in a single Docker Compose stack.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
`35432`
`ATLASSIAN_MCP_HOST_PORT`
`33002`
`ADMIN_DASHBOARD_UI_HOST_PORT`
`STREAMLIT_HOST_PORT`
`38200`
`TEMPORAL_UI_HOST_PORT`
`ADMIN_DASHBOARD_API_HOST_PORT`
`TEMPORAL_HOST_PORT`
`38083`
Host port
`36379`
`38081`
Behavior
`38084`
Contents
Reduce container attack surface by building application images on Google distroless base images that contain only the application runtime with no shell, package manager, or unnecessary OS utilities.
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
Harden the Docker daemon by configuring daemon.json with user namespace remapping, TLS authentication, rootless mode, and CIS benchmark controls.
Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators
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Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
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