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The obvious Getting started
Setting up model context servers (MCPS) on your local machine can be challenging. You have to deal with installing various packages, managing Node / NVM types, fixing routing issues, and troubleshooting servers won't start even after following all the setup steps. Without the following guidelines, local hosting can still be tricky and time-consuming.
The easiest solution is to use remote managed MCP servers. You can connect to these servers by using a URL and an API key or Oauth token. This means you won't have to worry about setting anything up, dealing with dependency issues, or constant administrative processes. In most cases, remote servers are faster and more reliable than trying to do everything on your computer.
In this article, we'll explore seven great MCP servers that simplify the management of programming, design, coding, and research in a seamless workflow. You will learn about their use cases and the main functionality they provide.
The obvious 1. GitHub
Far away GitHub MCP ServerHosted by GitHub, it provides an easy way to connect MCP and Ides compatible helpers to your GitHub tools via OAuth for one-time setup and automatic updates.
Once connected, your assistant can interact with repositories, issues, and pull requests directly from your chat or editor. It can even automate workflows, such as opening pull requests, starting continuous integration, and performing security triage, allowing you to quickly deploy code with more flexibility.
The MCP server supports OAuth 2.1 with PKCE and is integrated with Copilot Party
{
"mcpServers": {
"github": {
"url": "
"headers": {
"Authorization": "Bearer YOUR_GITHUB_PAT"
}
}
}
}The obvious 2. Canva
This page Canva MCP Server It provides a seamless connection between your AI assistant, like Claude or the pointer, and canva. This combination enhances your creativity by allowing you to generate new designs effortlessly.
With MCP Server, you can automatically fill templates with your unique content and easily export your results as images or PDFs. This streamlines the design process and saves you valuable time.
In addition, the server helps work with existing projects. You can summarize them or generate new content based on what you already have. This means you can maintain a smooth workflow without switching between different tools, keeping your creative process flowing within your editor or chat environment.
{
"mcpServers": {
"Canva": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"
]
}
}
}The obvious 3. Figma
This page Figma MCP remote server (open beta) connects MCP-compatible assistants in tools like VS Code, Cursor, and Claude Code directly to your Figma files using OAuth and a share link.
This integration allows you to generate code from selected frames, extract dynamic objects, elements, and layout metadata, and ensure that ackigs integrates with your design program with code integration.
Because of this, teams can add direct creative content to their resources without needing a desktop application, reduce Handoff friction, and quickly scale from prototype.
{
"inputs": [],
"servers": {
"figma": {
"url": "
"type": "http"
}
}
}The obvious 4. Vision
Notion MCP Server Is a managed service that securely connects AI assistants, such as Chatgpt, Claude, and Pointer, to your workplace with a simple one-click process. This integration provides real-time read and write access to your pages and information, as well as tools designed for A Agents.
Once connected, you can search your entire workspace, create new pages based on search results, and refresh layouts across multiple pages. By combining these features, you can access documents, edit, and update work directly from your editor or chat. This reduces context switching and streamlines your workflow.
{
"mcpServers": {
"Notion": {
"url": "
}
}
}The obvious 5. Kissing the face
This page Hugging Face MCP Server Connects your compatible MCP assistant directly to the face kiss hub. This allows you to search and evaluate models, datasets, spaces, and documents directly from your editor, in a dialog, or in a line display (CLI). It supports popular clients like VS Code, Pointer, ZED, and Claude Desktop.
Additionally, it allows you to use community tools by using MCP compatible applications that are hosted in spaces and fed back to your assistant with rich metadata, links, and context. These features facilitate the discovery, evaluation, and rapid promotion of models and datasets without the need to change the context, keeping the research and implementation within the integrated work.
{
"mcpServers": {
"hf-mcp-server": {
"url": "
}
}
}The obvious 6. Line
Line mcp It provides your AI assistant with premium access to your virtual workspace, allowing you to manage software projects and track issues using natural language.
You can easily find, create, and update specific items such as issues, projects, and teams. In addition, it allows you to change standard functions directly from clients such as Claude, pointer, and spirit.
This integration brings the line into your planning environment, improving your experience of development and planning for scheduling, triage, and status updates.
{"MCPSERVERS": {"Linear": {"Command": "NPX", "ARGS": ["-y", "mcp-remote", "
}
}
}
# 7. Firecrawl
The Firecrawl MCP Server is available for both local and remote use, integrating the Firecrawl API to provide LLM clients with powerful web crawling, scraping, and search capabilities. You can find it on GitHub.
In addition to basic scraping, it offers features such as JavaScript rendering, batch scraping, and search functionality. It supports self-hosted options and includes advanced features like parallel processing, automatic retries, and content filtering.
Designed specifically for AI workflows, Firecrawl can fetch and structure web content into machine-readable formats such as Markdown, JSON, or HTML, ensuring reliable content extraction.
It is commonly used to enhance tools like Cursor and Claude, adding real-time web data to model context.
{
"mcpServers": {
"firecrawl-mcp": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"]"Env": {"Firecrawl_API_KEY": "Your API-key"}}}}}The obvious Lasting
Integrating MCP servers such as GitHub, canva, Figva, and visualization to organize planning, design, coding, and research into a single workflow. This integration reduces context switching and speeds up delivery. With Oauth-based secure access and effective tools available directly in your editor or chat, you can improve collaboration and establish fast response loops across the entire product.
Here are some of the MCP resource cases:
- GitHub: Open PRS, Thige issues, and CRIGGER CI from the chat / editor for instant deployment.
- CANVA: Generate Designs, autofill templates, and export assets (PNG / JPG / PDF) without leaving your Ide / chat.
- Figma: Convert the frames to Starter code and pull variables / output components from the program.
- Idea: Search, create, and refresh pages to change documents, tasks, and status reports.
- Kissing the face: Find models / mods / spaces and GRIDI tools at GRIOCE for rapid testing and Prototyping.
- Line: Create / update issues and projects, change Triabeng, and post status updates from your assistant.
- Firecrawl: Crawl/scrape sites with JS rendering and return structured markup/JSON/HTML for global AI responses.
Abid Awan Awan (@ 1Abidaliawan) is a certified trainer for a scientist with a passion for machine learning models. Currently, he specializes in content creation and technical blogging on machine learning and data science technologies. Avid holds a master's degree in technology management and a bachelor's degree in telecommunication engineering. His idea is to build an AI product using a graph neural network for students struggling with mental illness.
