Spec-Driven Development

Provides access to 135+ animated React components from ReactBits.dev with intelligent caching, quality scoring, and dependency detection for building modern UI applications with animations, backgrounds, text effects, and interactive elements.

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

Desktop Commander

Official

Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.

Control browsers to perform sophisticated web interactions and visual tasks.

Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.

Install and configure additional MCP servers dynamically.

Provides efficient access to NPM/Go/Python package documentation through smart parsing and caching, enabling quick retrieval of up-to-date library information.

Chrome DevTools

Official

Provides direct Chrome browser control through DevTools for web automation, debugging, and performance analysis using accessibility tree snapshots for reliable element targeting, automatic page event handling, and integrated performance tracing with actionable insights.

Microsoft Docs

Official Remote

Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

Manage and execute tasks efficiently with MCP TaskManager in a queue-based system. This server supports planning by accepting and organizing task lists, and execution by delivering tasks one at a time with feedback on completion. It tracks tasks via unique IDs, ensuring smooth workflow coordination through clear stages: planning, executing, and completing. Designed for integration with MCP clients like Claude Desktop, TaskManager simplifies complex task handling and improves automation by providing structured task queues and real-time updates. Its straightforward action parameters allow easy control over task flow, making it a powerful tool for effective task management.

Azure DevOps

Official

Supercharge your workflow by bringing Azure DevOps commands directly into VS Code. The Azure DevOps MCP Server lets you manage projects, builds, releases, repos, work items, test plans, and more from your editor with simple prompts. Focused, easy-to-use tools offer clear access to Azure DevOps data, making routine tasks faster while keeping complexity out of your way. Perfect for anyone who wants to streamline DevOps work inside their coding environment.

Streamline Jira Cloud integration with this modular MCP server for AI and automation tools. Easily list scrum boards, track issues, add comments, fetch user info, and search users. Designed for extensibility and easy contribution, it helps automate workflows and connect Jira data to custom agents or bots. The server supports key Jira functionalities like retrieving server details and managing issues, all wrapped in a clean, TypeScript-based structure. Whether enhancing existing tools or building new automation, this project simplifies interacting with Jira Cloud via the Model Context Protocol.

Orchestrates AI coding workflows through role-based agents that transition between specialized responsibilities (orchestrator, architect, developer, reviewer, integration engineer) with comprehensive task management, dependency tracking, and execution state persistence.

Access Confluence pages and Jira issues via Atlassian API.

Integrates with OmniFocus on macOS using AppleScript to provide complete task and project management capabilities including CRUD operations, perspective views, batch operations, subtask hierarchies, tag management, and custom filtering for productivity workflows.

Provides structured problem-solving tools for step-by-step analysis, branching thoughts, and adaptive reasoning strategies in complex decision-making processes.

Integrates with GitLab's API to enable repository management, issue tracking, merge request handling, and file operations for automated development workflows.

Integrates with JIRA through REST API v2 to provide complete issue management including retrieval, JQL searching, creation, updates, status transitions, and commenting for development teams and project managers.

Transforms development from idea to implementation through structured phases including goal collection, EARS format requirements gathering, technical design documentation, task planning, and systematic code execution with template-based guidance and organized specification documents.

Transforms development from idea to implementation through structured phases including goal collection, EARS format requirements gathering, technical design documentation, task planning, and systematic code execution with template-based guidance and organized specification documents.

Provides three sequential prompts that guide software development from high-level requirements through EARS format documentation and design specifications to final code generation, supporting a structured waterfall development workflow.

Guides users through structured software project documentation phases with automated document generation, progress tracking, and workflow state management using OpenAPI specifications as templates.

Provides structured workflow guidance for disciplined software engineering practices through four specialized methodologies (refactoring, feature creation, test writing, and test-driven development) with phase-specific validation, file operation safety rules, and session state tracking for systematic code development.