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Deepcon
Deepcon is a powerful MCP (Model Context Protocol) server that provides AI agents with intelligent access to package documentation. Instead of searching the web or relying on outdated training data, your AI coding agents can search through up-to-date documentation using semantic search.
Jira
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.
Netlify
Control your Netlify projects effortlessly using natural language through AI agents with Netlify MCP Server. This server follows the Model Context Protocol to enable code agents to create, deploy, and manage sites, configure access controls, handle environment variables, and more—all via simple prompts. It acts as a bridge between AI clients and Netlify’s API and CLI, empowering seamless automation and resource management. Whether retrieving team data or managing forms and extensions, Netlify MCP Server streamlines your workflow by integrating powerful AI-driven project control in an accessible, standardized way.
Deep Research (Tavily)
Enables comprehensive web research by leveraging Tavily's Search and Crawl APIs to aggregate information from multiple sources, extract detailed content, and structure data specifically for generating technical documentation and research reports.
Memory Bank
Maintains persistent project context through a structured Memory Bank system of five markdown files that track goals, status, progress, decisions, and patterns with automatic timestamp tracking and workflow guidance for consistent documentation across development sessions.
shadcn/ui
The shadcn MCP Server allows AI assistants to interact with items from registries. You can browse available components, search for specific ones, and install them directly into your project using natural language. For example, you can ask an AI assistant to "Build a landing page using components from the acme registry" or "Find me a login form from the shadcn registry".
Payload CMS
Provides validation, query, and code generation services for Payload CMS 3.0 development, enabling developers to validate collections, execute SQL-like queries against validation rules, and scaffold complete projects with Redis integration for persistence.
Slack
Experience the most powerful MCP server for Slack workspaces with advanced message and channel support. This feature-rich server allows fetching messages from channels, threads, DMs, and group DMs with embedded user info and smart history pagination by date or count. It supports enterprise workspaces, caching for faster access, and flexible transports like Stdio and SSE with proxy settings. Designed for stealth operation or secure access via OAuth, it integrates channel and thread lookups by name or ID to give rich, contextual Slack workspace data efficiently and reliably. Perfect for developers needing robust Slack data handling.
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