"Material Design Icons" matching MCP servers:

Enables specification-driven development workflows for AI editors by managing structured project specifications through stages like requirements, design, and tasks.

Exposes Yocoolab design feedback threads, selections, and activity events as tools for AI coding assistants like Claude Code.

Enables AI coding tools to follow a structured spec-driven development workflow with three phases: requirements, design, and tasks, ensuring approval before advancing.

MCP server bridging ChatGPT-compatible clients to the Design Flow System, enabling project session management, draft import, round locking, and read-only access to design state and traceability.

Control your Elgato Stream Deck from Claude Code with high-quality icons, full profile management, and task context aggregation from Slack, Notion, and GitHub.

Model work domains using Cognitive Work Analysis, score tasks for AI suitability, and design organisations.

Enables AI assistants to manage game development projects, sprints, tasks, and design documents via the HacknPlan API.

An intelligent MCP server that helps development teams maintain high-quality project documentation by providing an AI-powered workflow for creating comprehensive specifications through requirements, design, and implementation documents.

MCP server enabling LLMs to retrieve thread-centered discussion context and manage organization design through masabbs REST API.

A Model Context Protocol server that provides structured workflow tools for managing software development projects through different complexity levels, offering specialized modes for project planning, design, implementation, and documentation.

Guides product design through mandatory phases—discovery, definition, prioritization, flows, and verification—so an AI assistant can run a project from problem to verified scope, with strict or free progression modes.

Enables MCP clients to interact with the SELISE CLM Shipment REST API, providing tools for shipments, incidents, site equipment, lean cards, material handovers, cockpit dashboards, and weather, with both curated tools and a full-coverage gateway.

Enables AI assistants to create, modify, and manage Penpot designs programmatically, providing full manipulation capabilities for the open-source design tool.

Enables the creation and management of business design artifacts including Business Model Canvases, SWOT analyses, and user personas. It features project organization and AI-powered research tools to automatically populate frameworks with market data.

Provides an AI-driven four-stage software development workflow with role management, enabling structured requirements analysis, design, implementation, and testing.

Transforms AI agents into spec-driven product engineers by managing the software project lifecycle through requirements, design, implementation, and archiving phases with state-aware MCP tools.

Enables AI assistants such as Claude Desktop to access and manage amoCRM data—including leads, contacts, companies, tasks, pipelines, users, notes, and account information—through stdio or Streamable HTTP transports.

Enables agents and humans to inspect measured-room projects, update bounded dimensions and assumptions, and export quantity schedules and revision dossiers through constrained tools with stale-edit and replay protections.

A game development MCP server with 950+ curated docs across 29 engines and 5 power tools for scaffolding, debugging, design, and scope tracking. It connects to any AI supporting the Model Context Protocol.

An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.

MCP server for Floors.live that lets AI assistants create events, design floorplans, manage guest lists, and run intelligent seating assignments.

Turns live meeting utterances into work while people talk, producing plan, design, verification, and research cards plus stored decisions, action items, and workspace files. Small writes land immediately, while scaffolding, test runs, issue creation, and pull requests wait for an explicit yes, and stop/不对 roll back a checkpoint.

Enables Claude Desktop to add and edit ConstructionClock time entries directly through the ConstructionClock REST API.

Enables to extract project handover evidence and check material completeness against requirements without making approval decisions.

Professional MCP server for Claude Desktop that provides award-winning todo management with systematic design principles, cross-chat persistence, and contextual triggers.

An MCP server that exposes Google Stitch's AI-powered UI design capabilities as local tools. It enables project management, screen generation/editing, and design system operations by forwarding requests to Google's Stitch API.

Provides AI tools for generating project planning documents including technical design plans, phase-based task checklists, and detailed role definitions as plain text files.

Provides construction cost estimation tools using data from a public Google Sheet for items like concrete, framing, and electrical. It allows users to search items, filter by category, and calculate total project costs including labor and material expenses.

An MCP server for saving project notes and design decisions to a SQLite database, with git-tracked storage and support for categories, tags, and search.

Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.

This is an unofficial, community-built MCP server for qTest Manager. Not affiliated with or endorsed by Tricentis. Browse projects, modules, and test cases Create/delete test design modules Create and manage test execution cycles Add test cases into execution suites

Connects AI assistants to the Itcons.app business operations platform for managing work reports, work orders, projects, clients, and users. It supports both local stdio and remote HTTP modes, enabling querying, searching, and creating operational data with secure authentication.

Enables any MCP-capable coding agent to gate code writing behind user-approved design checkpoints, asking for the user's own approach first and recording decisions, project maps, and progress in a local .vibe-wise/ folder. Code is only written once the user explicitly confirms an implementation checkpoint, with no account, backend, or telemetry required.

An MCP server that owns the harness: your project's constitution, structure, design rules, requirements and phased tasks. The agent reads it, writes code from it, and may only propose changes to it.

A workflow-level MCP server for Vikunja with a fixed task pipeline (Backlog → Queue → Design → Build → Review → Done) that enables agents to claim, advance, and comment on tasks, while handling human callbacks and blocked items.

Enables AI models to interact with the Upsprints API for managing users, companies, projects, and tasks, including generating Software Design Documents (SDDs) from tasks via read/write tools and webhooks.

Enables AI agents to plan and implement work as numbered Markdown initiative files inside a git repository, coining collision-free numbers, tracking status and cross-collection dependencies, and running design-review, implement, and complete prompts. It also keeps collection READMEs current by regenerating tables, Mermaid dependency graphs, and a themes index.

Enables Claude to interact with HacknPlan project management via the MCP protocol. Provides tools for managing projects, work items, boards, milestones, time logs, design models, and cross-project portfolio views.

An MCP server for AI-assisted project development and tracking. It exposes a typed graph of design nodes (concepts, decisions, requirements, etc.) and edges to Claude Code, enabling structured management of project knowledge and report generation.

Enables Claude to search your team's design and issue comment threads from Figma, Jira, and Notion, answer questions with citations, surface feedback relevant to the code you're editing, and post replies or close threads after your confirmation.