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Kubernetes deployment intelligence — typed query tools + AI-synthesised risk briefs. CLI + MCP server.

Project description

mcp-deploy-intel

Kubernetes deployment intelligence — typed query tools + AI-synthesised risk briefs. CLI + MCP server.

Status: v0.4.0 — 8 tools live + continuous watcher. Two K8s-only tools + three Prometheus tools + three SQLite deploy-history tools + K8s informer loop. LLM risk-brief tools arrive in v0.5.0+; v1.0.0 adds Helm Deployment mode + cluster matrix CI.

Install

# Run ephemerally via uvx (recommended for one-off queries):
uvx mcp-deploy-intel --help

# Persistent:
pip install mcp-deploy-intel

Quickstart

# List Deployments + StatefulSets in a namespace
deploy-intel list-workloads-in-namespace default

# Snapshot a single workload
deploy-intel get-workload default/Deployment/my-api --format md

# Watch cluster deployments — auto-record every new rollout to SQLite
deploy-intel watch                               # all namespaces
deploy-intel watch --namespace prod --namespace staging   # scoped

MCP — Claude Desktop / Claude Code

{
  "mcpServers": {
    "deploy-intel": {
      "command": "uvx",
      "args": ["mcp-deploy-intel", "serve-mcp"]
    }
  }
}

Current tools exposed via MCP (8 total): get_workload, list_workloads_in_namespace, get_metric_trend, get_inbound_traffic, get_outbound_traffic, record_deploy, get_deploy_history, get_rollback_history.

Design & plans

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