Lets AI agents query a computerized system inventory as a knowledge graph using Cypher, enabling blast radius, data lineage, regulation checks, and change impact assessments while preventing hallucinated regulatory claims.
Cirdan maps and watches the live infrastructure your agent session can reach — Docker, Kubernetes, cloud, IaC, and telemetry — then exposes it over MCP. It fingerprints the environment, builds a dependency graph, detects incidents, and can run evidence-backed actions. It inherits the session's own access and never escalates beyond it.
Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.
MCP server that builds a dependency graph of your codebase, giving AI agents structural understanding to analyze impact, find context, and make safe modifications across languages and infrastructure.
A no-train, on-prem code knowledge graph served over the Model Context Protocol, enabling AI agents to query code structure (symbols, calls, cross-language edges) with a tamper-evident audit log.
