"Datadog - A monitoring and analytics platform for developers and IT operations" matching MCP servers:

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Cloud infrastructure provisioning via natural language. Enables deploying production-ready infrastructure on AWS, GCP, Azure, or Oracle with a single prompt.

An MCP server that builds a local webpage to view AI plans, reports, and diagrams, so the AI only needs to send a URL pointer instead of long text. It provides three tools (view_plan, view_report, view_diagram) and tracks project changes for diff viewing.

AI-native architecture diagramming for MCP clients (Claude Code, Cursor, Windsurf). The calling agent authors the graph (nodes, groups, edges); Flowgraf validates it, lays it out deterministically with ELK, renders an SVG + Mermaid, and returns a link to a live, editable canvas you can refine by chat, drag, or one-click AI design review. Agent-authored ops — no API key and no LLM cost to the calle

Enables AI agents to programmatically generate, edit, and view Excalidraw diagrams with real-time browser synchronization. It provides a suite of tools for adding shapes, text, and arrows to diagrams through natural language interactions.

An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.

Tech stack recommendations for developers. Deterministic 6-dimension scoring across 30+ technologies. 4 free tools, Pro features with API key.

Exposes ASCIIFlow drawing primitives as tools to enable AI assistants to generate ASCII wireframes and diagrams from natural language descriptions. It provides commands for creating canvases and drawing boxes, lines, arrows, and text using a character-grid coordinate system.

An MCP server that analyzes and traces business code flows across your codebase, enabling developers to quickly understand the complete execution path of features from frontend to backend to database.

An MCP server for Spec-Driven Development that transforms natural language ideas and meeting transcripts into structured, production-grade specifications using EARS notation. It automates a 7-phase pipeline to generate project artifacts like requirements, architecture designs, and task lists directly to disk.

A Model Context Protocol server that manages structured technical spike investigations and generates Architecture Decision Records through an enforced four-phase workflow. It enables developers to track exploration branches, document adversarial challenges, and maintain persistent state across multiple sessions.

Enables AI assistants to visualize cloud architecture diagrams, generate and import Terraform HCL, and manage infrastructure resources directly from chat through the CloudForge platform.

A specialized architecture design MCP server that enables AI-assisted developers to plan optimal system structures through interactive consultations. It generates structured ARCHITECTURE.md and .ai-context.yaml files to guide AI coding tools in building scalable and cost-effective infrastructure.

Enables creation of complete metamodels and model instances through natural language interaction by connecting Large Language Models to the MM-AR metamodeling platform.

A deterministic architecture audit engine for Cursor. It enforces visual Mermaid protocols to prevent LLM hallucinations, ensuring AI modifies code based on strict blueprints.