Figma MCP Server Best Practices: From Local Dev to Team Collaboration
A comprehensive guide to best practices for the Figma MCP Server. Learn how to optimize your local and remote setups for a seamless design-to-code workflow.
by UI5
Provides a Model Context Protocol server that equips agentic AI tools with UI5‑specific project scaffolding, API reference retrieval, guideline access, project metadata extraction, version info, and linting capabilities.
by southleft
Provides real-time console access, visual debugging, design system extraction, and auditing for Figma files and plugins, supporting both cloud and local deployment.
by ali-kh7
Aggregates web data via Tavily's Search and Crawl APIs, structures the results for LLM-friendly markdown generation.
by CursorTouch
Enables AI agents to control the Windows operating system, performing file navigation, application launching, UI interaction, QA testing, and other automation tasks through a lightweight server.
by smithery-ai
Install, manage, and develop Model Context Protocol (MCP) servers via a client‑agnostic command‑line interface.
by agentic-community
Provides a unified, enterprise‑ready gateway and registry that centralizes AI development tools, enforces OAuth authentication, supports dynamic tool discovery, and applies fine‑grained access control for both autonomous agents and coding assistants.
by openstack-kr
Provides an MCP interface for AI assistants to manage OpenStack resources such as compute, images, identity, networking, and block storage.
by Cris-0k
Provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python, facilitating AI‑assisted development of MCP tools.
by zoldyrk
Provides an MCP server that enables developers to connect to RedNote (XiaoHongShu) for creating, reading, updating, and deleting notes through a simple RESTful API.
by modelscope
Provides AI agents and chatbots with direct access to ModelScope’s ecosystem, enabling image generation, resource discovery, and contextual information via MCP.
by sapientpants
Enables AI assistants to retrieve SonarQube code quality metrics, issues, security hotspots, and analysis results through the Model Context Protocol.
by agent-infra
Provides an all-in-one sandbox environment that combines Browser, Shell, File operations, MCP services, and VSCode Server inside a single Docker container, enabling unified, secure execution for AI agents and developers.
by datalayer
Enables real-time interaction with Jupyter notebooks, allowing AI to edit, document, and execute code for data analysis, visualization, and multimodal output.
by VeriTeknik
Provides a self‑hostable web interface that unifies discovery, configuration, and management of MCP servers while turning AI conversations into searchable, versioned organizational knowledge.
by blukglug
Provides AI‑enhanced YouTube video search, transcript retrieval, and semantic content queries without using the official API, leveraging a vector database for discovery.
by ZizoTheDev
Provides an MCP server that integrates with FFmpeg to handle media processing tasks such as transcoding, format conversion, streaming, and other video/audio manipulations.
by 1mcp-app
Provides a unified server that aggregates multiple Model Context Protocol (MCP) servers into a single endpoint, simplifying configuration, lowering resource consumption, and offering a standardized interaction layer for AI assistants.
by robotmcp
Enables bidirectional integration of large language models with ROS‑enabled robots, allowing natural language commands and real‑time access to robot state, topics, services and parameters.
by mrsimpson
Transforms AI coding agents into structured development partners by applying battle‑tested engineering workflows, preserving project context across sessions, and automatically generating documentation and decision logs.
by avivsinai
Provides a Model Context Protocol server that enables AI agents to query Langfuse trace data for enhanced debugging and observability.
by netdata
Delivers real‑time, per‑second infrastructure monitoring with zero‑configuration agents, on‑edge machine‑learning anomaly detection, and built‑in dashboards.
by modelcontextprotocol
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
by modelcontextprotocol
A Model Context Protocol server that provides web content fetching capabilities.
by modelcontextprotocol
Model Context Protocol Servers
by modelcontextprotocol
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
by modelcontextprotocol
A Model Context Protocol server for Git repository interaction and automation.
by modelcontextprotocol
A Model Context Protocol server that provides time and timezone conversion capabilities.
by mindsdb
Enables humans, AI agents, and applications to retrieve highly accurate answers across large‑scale data sources, unifying heterogeneous databases, warehouses, and SaaS platforms.
by upstash
Provides up-to-date, version‑specific library documentation and code examples directly inside LLM prompts, eliminating outdated information and hallucinated APIs.
by github
Connects AI tools directly to GitHub, enabling natural‑language interactions for repository browsing, issue and pull‑request management, CI/CD monitoring, code‑security analysis, and team collaboration.
by daytonaio
Provides a secure, elastic infrastructure that creates isolated sandboxes for running AI‑generated code with sub‑90 ms startup, unlimited persistence, and OCI/Docker compatibility.
by activepieces
A self‑hosted, open‑source platform that provides a no‑code builder for creating, versioning, and running AI‑driven automation workflows. Pieces are TypeScript‑based plugins that become MCP servers, allowing direct consumption by large language models.
by chaitin
A self‑hosted web application firewall and reverse proxy that protects web applications from attacks and exploits by filtering, monitoring, and blocking malicious HTTP/S traffic.
by microsoft
Provides fast, lightweight browser automation using Playwright's accessibility tree, enabling LLMs to interact with web pages through structured snapshots instead of screenshots.
by Skyvern-AI
Automates browser‑based workflows by leveraging large language models and computer‑vision techniques, turning natural‑language prompts into fully functional web interactions without writing custom scripts.
by ahujasid
Enables Claude AI to control Blender for prompt‑assisted 3D modeling, scene creation, and manipulation via a socket‑based Model Context Protocol server.
by PipedreamHQ
Connect APIs quickly with a free, hosted integration platform that enables event‑driven automations across 1,000+ services and supports custom code in Node.js, Python, Go, or Bash.
by googleapis
An MCP server that streamlines database tool development by handling connection pooling, authentication, observability, and secure access, allowing agents to interact with databases via natural language.
by elie222
Organizes email inbox, drafts replies in the user's tone, tracks follow‑ups, and provides analytics to achieve inbox zero quickly.
by BeehiveInnovations
Orchestrates Claude Code, Gemini CLI, Codex CLI and a wide range of AI models to provide continuous, context‑rich workflows for code analysis, debugging, planning and pre‑commit validation.
Empowers developers to code with AI-driven assistance, delivering real‑time codebase awareness, automated lint fixing, and seamless workflow integration directly inside the editor.
Provides an agentic development environment that lets developers issue plain‑English or shell commands, have multiple AI agents write, debug, and deploy code across multi‑repo codebases, and manage those agents centrally from a modern, high‑performance terminal.
Provides an integrated, customizable AI coding agent that automates routine development tasks, writes, tests, and deploys code, and can be extended with custom Zen Agents for any workflow.
by zed-industries
A high‑performance, multiplayer code editor designed for speed and collaboration.
AI-powered code editing with contextual chat, next‑edit suggestions, and agent mode, supporting dozens of languages and deep UI customization.
Transform spreadsheet tasks into automated AI-driven operations, pulling data from multiple sources, enabling two‑way sync, generating charts, and executing natural‑language actions directly inside Google Sheets.
Run advanced AI models locally with high performance while maintaining full data privacy, accessible through native desktop applications and a browser‑based platform.
by RooCodeInc
Provides an autonomous AI coding partner inside the editor that can understand natural language, manipulate files, run commands, browse the web, and be customized via modes and instructions.
Download and install the Postman API platform across desktop, web, command‑line, and IDE extensions to design, test, document, and monitor APIs.
Generate production‑ready code from natural language prompts, leverage ready‑made templates, and keep all files stored locally for full ownership and privacy.
Build, customize, and deploy AI-powered agents that automate tasks, retrieve information, and take actions across Microsoft 365, web, social and custom channels.
Upload, analyze, and visualize documents, compare multiple AI model responses side‑by‑side, generate diagrams, solve math with KaTeX, and collaborate securely within a single unified interface.
Automates repetitive work across dozens of apps using AI-powered agents, handling email management, data extraction, enrichment, reporting, and custom workflows.
An AI‑powered code editor that boosts developer productivity with intelligent autocompletion, natural‑language code editing, and deep codebase awareness.
Provides an AI conversational assistant accessible via desktop and mobile applications, allowing users to continue conversations across devices without switching tabs.
AI-powered code assistance directly inside the terminal, providing instant codebase search, coordinated multi‑file edits, test execution, and seamless integration with IDEs, CI/CD pipelines, and common developer tools.
Provides a native macOS app that consolidates multiple AI models for chat, code assistance, content creation, and image generation directly inside everyday applications.
AI‑powered autonomous coding agents, context‑aware autocomplete, terminal command automation, and deep IDE integrations accelerate software development and streamline codebase navigation.
Connects to any MCP server via HTTP streamable or Server‑Sent Events (SSE) and presents the interaction in a chat‑like UI, allowing developers to test and debug MCP integrations quickly.
by nbonamy
A desktop AI assistant that integrates with dozens of LLM providers, offering chat, multimodal generation, RAG, shortcuts, and extensible commands across the operating system.
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A comprehensive guide to best practices for the Figma MCP Server. Learn how to optimize your local and remote setups for a seamless design-to-code workflow.
Step-by-step guide to installing your first MCP server. From setup to integration with clients like Claude Desktop, Cursor, and VSCode, get your AI assistant connected to external tools quickly and securely.
Learn how to create custom MCP servers that integrate with any AI assistant. Complete with code examples, best practices, and deployment strategies for your specialized use cases.
Everything you need to know about MCP Server Space and MCP servers.
The Model Context Protocol (MCP) is an open standard that enables AI models like Claude to securely connect with external data sources, tools, and services. MCP servers expose capabilities that AI assistants can use to enhance their functionality.
The Model Context Protocol (MCP) was introduced by Anthropic and open-sourced. It is a community-driven standard designed to foster an open ecosystem for AI model integration.
Listings include permissions, capabilities, and source links. We run basic checks, but we don’t guarantee security—always review code and sandbox servers.
MCP securely extends AI capabilities by connecting to external data and tools. Common use cases: real-time Q&A, automated workflows, and enterprise knowledge integration.
Add the server to your MCP-compatible client configuration (for example, a “mcpServers” section). Follow the server’s README for auth and environment variables.
Yes. SDKs are available in multiple languages (commonly TypeScript and Python). Start with examples and guidelines, then publish your server to the community.
Popular clients include those by Anthropic and community projects. Check your client’s documentation for MCP support and configuration format.
Submit your server with a repo link, brief capabilities, and permission notes. We’ll review basic details before publishing.