"MCP NetAssist and Edge Echo" matching MCP servers:

Generates GCP architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python diagrams DSL via MCP.

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

Enables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.

A graph layout server that computes node coordinates and edge paths from structure using elkjs, enabling agents to offload layout calculations without rendering.

Automatically generates mind map images from text content using Coze API workflow. Returns accessible image links that can be used in MCP-compatible tools like CodeBuddy, Cursor, and Qoder.

Enables creation and management of state/decision graphs using NetworkX, supporting directed graphs with conditional branches, edge ordering, path finding, and visualization through PNG exports or interactive web interface.

A local-first MCP server for macOS that enables AI assistants to read and manage Apple Calendar events via EventKit, with configurable permissions, audit logging, and a native setup app.

MCP server for foldkit that exposes 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources for use in MCP clients like Claude Code, enabling state folding, κ-band classification, and fold operations.

Enables read-only access to Sparx Systems Enterprise Architect repositories stored in various database systems via ODBC, allowing AI assistants to browse and query model data without requiring Windows or a running EA instance.

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

Enables querying event-driven architecture documentation including domains, services, messages, and schemas through MCP clients like Claude and Cursor.

A local MCP server that indexes codebases into Neo4j and provides tools for code analysis, dependency visualization, and impact assessment.

Enables streaming hand-drawn Excalidraw diagrams with smooth viewport camera control and interactive fullscreen editing.

MCP server for modeling Camunda 7 BPMN diagrams programmatically, including elements, flows, and Camunda extensions.

Visual architecture canvas that updates in real-time. Agents can build, read, and modify system design diagrams — services, databases, queues, APIs, entities — all linked to actual code paths in your repo.

Enables AI agents to create, modify, and share diagrams on a live Excalidraw canvas through MCP tools, supporting shapes, text, arrows, batch operations, and export to shareable links with images.

Enables users to learn what MCP is and generate new MCP servers from an idea, including tool design and configuration files.

Enables AI assistants to create, edit, and export flowcharts through a local web-based editor with visual drag-and-drop, real-time sync, and 14 MCP tools for full node/edge CRUD.

A remotely-hosted MCP server that generates Azure architecture diagrams from agent-generated topology descriptions, with safe execution and consistent styling.

Enables AI agents to create and manipulate live visual diagrams on an Excalidraw canvas in real-time via MCP tools.