"Information about Google Chronicle" matching MCP servers:

Lets AI agents draw professional cloud architecture diagrams with the official AWS, Azure and Google Cloud icons, from a plain description, a JSON graph or Terraform code.

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

Exposes the Polaris architectural fitness-function control plane's REST API as grouped MCP tools over stdio, letting agents manage tribes, squads, fitness targets and functions, measurement sources, submissions, evaluations, waivers, insights, and events. Handles Google OIDC login and silent token refresh automatically, and submits measurements with an ingest API key.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Enables AI agents to create, validate, and manage buildingSMART IDS (Information Delivery Specification) files with 100% compliance to the IDS 1.0 standard using IfcOpenShell's IfcTester library.

Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.

Generates, reviews, and imports cloud architecture diagrams for AWS, Azure, and Google Cloud from editable specs, Terraform, or live Google Cloud inventory, rendering them as PNG, SVG, PDF, or JPG.

Enables AI agents to query a repository's verified semantic model, including capabilities, ownership, contracts, constraints, impact, health, and verification status, without re-deriving project facts. It exposes read-only tools for inspecting, reasoning about, and verifying the provenance-tracked surface.

Enables managing Cacoo diagrams, folders, organizations, and account information through MCP tools over HTTP, with OAuth-based authentication, email allowlisting, and support for multiple Cacoo accounts.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Enables AI assistants to programmatically create and manage information flow diagrams — information items and information flows in StarUML.

An automated MCP server for Google Stitch that enables AI-driven UI design generation, accessibility audits, and design system management. It streamlines workflows for creating responsive screens, extracting design tokens, and maintaining visual consistency across professional web projects.

Enables users to start from a seed host, traverse CDP/LLDP neighbor evidence and device information over SSH, and produce an editable Draw.io topology diagram plus supporting evidence for engineer review. It supports explicit host/CIDR scoping, bounded depth and device counts, strict host-key checks, and a read-only command policy, with an offline simulated demo.

An automated MCP server for Google Stitch that enables AI-driven UI design generation, screen management, and design system extraction. It provides 19 professional tools for creating consistent web interfaces, conducting accessibility audits, and exporting design tokens.

Exposes 20+ tools that let any MCP-compatible client search patent rules and statutes (MPEP, USC, CFR) with hybrid RAG retrieval, hunt prior art across 100M+ patents via Google BigQuery, run automated claims and application compliance checks, and generate patent-style diagrams. It also provides CLI-driven setup, GPU-accelerated indexing, and health reporting so users can move from a raw invention description to a reviewable draft application.

CodeGraph MCP is a powerful standalone tool that parses your entire C/C++ codebase into a semantic knowledge graph and seamlessly exposes it to AI coding assistants via the Model Context Protocol (MCP). By providing AI (like Claude Desktop, Cursor, or Google Antigravity) with a structural map of your project—including caller/callee relationships, file dependencies, and dynamic function definition