GraQle is a governance-led multi-agent reasoning system that scans codebases into a knowledge graph, allowing each module to act as a reasoning agent for impact analysis and automated governance on code changes.
From the registry: Dev intelligence layer: 7 MCP tools for graph-powered codebase reasoning.

$ graq scan repo .Please install the `graqle` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install graqle** — Install the graqle Python package Run: `pip install graqle` (https://pypi.org/project/graqle/)
- **Scan a repo** — Build the initial knowledge graph for your project Run: `graq scan repo .`
Canonical MCP server config (stdio transport):
- command: `graq`
- args: ["mcp","serve"]
Note: Works with any MCP client. Also exposes a governance gate via 'graq gate-install' that routes Claude Code's native tools through graph-aware equivalents. Use 'graq init' to auto-wire common IDEs.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.