"Online meeting transcription storage service like Fireflies" matching MCP servers:

A comprehensive MCP server for managing product initiatives, architecture decisions, requirements, and releases, enabling AI tools to interact with architectural documentation and planning.

Provides ROS2 workspace graph knowledge including package dependencies, message/service/action definitions, and topic pub/sub relationships through MCP tools.

Generates engineer-grade SaaS specifications — design systems, database schemas, and RLS policies for AI build tools like Lovable, Cursor, and Claude Code. 4 tools, TypeScript, MIT licensed.

Analyzes a local codebase and exposes its structure, per-file summaries, dependency graph, and complexity hotspots as tools for MCP clients like Claude.

MCP server for generating and editing architecture diagrams from natural language or code, supporting formats like Terraform, docker-compose, Kubernetes, SQL, Mermaid, and PlantUML.

Enables analysis of any GitHub repository to get architecture, file roles, execution flows, system design Q\&A, and structured agent context. Works with MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

An MCP server designed for React Native and Expo development that provides specialized tools for project scaffolding, architectural best practices, and troubleshooting. It enables AI assistants to guide users through setup, navigation configuration, and CI/CD processes using modern stacks like NativeWind and Zustand.

MCP server that creates, edits and exports architecture diagrams as .fluyo.json files, operating through tools like create_diagram, edit_diagram, and export_diagram directly from Claude.

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.

Enables AI agents to interact with Figma to create, read, and manage designs using the Figma REST API and a dedicated plugin. It supports advanced features like UI generation from text, webpage reconstruction in Figma, and design token synchronization with codebases.

Provides AI models with structured design guidelines and system prompts for creating consistent, high-quality interactive visualizations like charts, diagrams, and mockups. It enables on-demand loading of UI specifications to optimize token usage while ensuring visually polished and functional widget generation.

Automatically generates compelling application specifications and code based on the four dimensions (existence, historicity, relationality, irrationality), simplicity, and Figma-like UI, enabling users to create great apps without detailed instructions.

Enables AI assistants like Claude to create and edit electronic circuit diagrams using the schemdraw library through the Model Context Protocol.

Provides AI assistants with comprehensive control over Unity Hub and Unity Editor through over 200 specialized tools for project management and scene manipulation. It enables users to perform complex tasks like script creation, asset management, and project builds using natural language commands.

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.

Connects AI coding agents to Circuitry's visual workflow platform, enabling them to create and sync code nodes from project files, understand user-drawn flowcharts and diagrams, generate visual flowcharts, and create data visualizations like spreadsheets and charts.

Enables generating BPMN 2.0 process models from natural language descriptions, YAML, or images via OCR, with templates, validation, and compatibility with tools like Bizagi Modeler and Camunda Modeler.

Analyzes runtime data objects to suggest optimal UI component instructions for a low-code renderer using structural heuristics. It automatically maps data patterns to specific UI elements like tables, carousels, and cards to streamline interface generation.

An MCP server implementing Spec-Driven Development workflows for AI-agent CLIs and IDEs like Claude Code and Cursor, enabling spec-first development with automated workflow guidance and quality checks.

Scans AWS environments and generates professional architecture diagrams showing VPC networking, compute, storage, and security resources.