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# Entry
Configuring Model Context Protocols (MCP) servers on your local computer can be a challenge. You have to deal with installing various packages, managing Node/nvm versions, fixing PATH issues, and troubleshooting servers that don’t start even after completing all the installation steps. Despite following the guides below, local hosting can still be hard and time-consuming.
A much easier solution is to exploit remote MCP servers. You can connect to these servers simply with a URL and an API key or OAuth token. This means you won’t have to worry about configuring anything locally, troubleshooting dependencies, or constantly managing processes. In many cases, remote servers are faster and more reliable than trying to run everything on your own computer.
In this article, we will discuss seven free remote MCP servers that simplify the management of planning, design, coding and research into a seamless workflow. You will learn about their exploit cases and the most significant functionalities they provide.
# 1. GitHub
Pilot MCP GitHub serverhosted by GitHub, provides the easiest way to connect MCP-compatible assistants and IDEs with GitHub tools with one-click OAuth configuration 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, initiating continuous integration, and performing security triage, allowing you to deliver code faster with fewer context switches.
The MCP server supports OAuth 2.1 with PKCE and is integrated with Copilot’s own IDEs including VS Code, Visual Studio, JetBrains, Eclipse and Xcode for seamless configuration.
{
"mcpServers": {
"github": {
"url": "https://api.githubcopilot.com/mcp/",
"headers": {
"Authorization": "Bearer YOUR_GITHUB_PAT"
}
}
}
}# 2. Canva
The Canva MCP Server provides a seamless connection between an AI assistant like Claude or Cursor and Canva. This integration improves design quality by allowing you to seamlessly generate novel designs.
With MCP Server, you can automatically populate templates with unique content and easily export the results as images or PDF files. This streamlines the design process and saves valuable time.
Additionally, the server makes it easier to work with existing projects. You can summarize them or generate novel content based on what you already have. This means you can maintain a silky workflow without having to switch between different tools, keeping your imaginative process flowing in your editor or chat environment.
{
"mcpServers": {
"Canva": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://mcp.canva.com/mcp"
]
}
}
}# 3. Figma
The Figma MCP remote server (open beta) connects MCP-compatible assistants in tools like VS Code, Cursor, and Claude Code directly to Figma files using OAuth and sharing links.
This integration allows you to generate code from selected frames, extract variables, components and layout metadata, retrieve Make assets, and ensure that the output is compatible with the design system via Code Connect.
As a result, teams can incorporate right design context into their IDEs without the need for a desktop application, reduce handover friction, and move from prototype to production faster.
{
"inputs": [],
"servers": {
"figma": {
"url": "https://mcp.figma.com/mcp",
"type": "http"
}
}
}# 4. Concept
Concept MCP server is a hosted service that securely connects popular AI assistants like ChatGPT, Claude, and Cursor to your workspace through a uncomplicated, one-click OAuth process. This integration provides real-time read-write access to sites and databases, as well as tools designed specifically for AI agents.
Once connected, you can search your entire workspace, create novel pages based on search results, and update properties across multiple pages. By combining these features, you can automate documentation, scheduling, and task updates directly from your editor or chat. This minimizes context switching and streamlines workflow.
{
"mcpServers": {
"Notion": {
"url": "https://mcp.notion.com/mcp"
}
}
}# 5. Hugging face
The MCP server with a cozy face connects your MCP-compatible assistant directly to Hugging Face Hub. This allows you to search and explore models, datasets, spaces, and articles directly from the editor, chat, or command-line interface (CLI). It supports popular clients such as VS Code, Cursor, Zed, and Claude Desktop.
Additionally, it allows you to run social tools through MCP-compatible Gradio apps hosted on Spaces and feeds the results back to the assistant with prosperous metadata, links, and context. These features streamline the discovery, evaluation, and rapid prototyping of models and datasets without the need for context switching, keeping research and deployment in one integrated workflow.
{
"mcpServers": {
"hf-mcp-server": {
"url": "https://huggingface.co/mcp?login"
}
}
}# 6. Linear
Linear MCP gives your AI assistant premium access to a linear workspace, allowing you to manage software projects and track issues using natural language.
You can easily find, create, and update linear objects such as issues, projects, and teams. Additionally, it allows you to automate common tasks directly from clients such as Claude, Cursor and Windsurf.
This integration brings Linear into your editing environment, improving your programming experience and streamlining scheduling, curation, and status updates.
{
"mcpServers": {
"linear": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.linear.app/sse"]
}
}
}# 7.Firecrall
The Firecrawl MCP Server is available for both local and remote exploit, integrating the Firecrawl API to provide LLM clients with powerful web crawling, scraping and mining 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-hosting options and includes advanced features such as parallel processing, automatic retries, and content filtering.
Designed specifically for AI workflows, Firecrawl can retrieve and organize web content in machine-readable formats such as Markdown, JSON or HTML, ensuring reliable content extraction.
It is commonly used to enhance tools like Cursor and Claude by adding real-time web data to the context of the model.
{
"mcpServers": {
"firecrawl-mcp": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "YOUR-API-KEY"
}
}
}
}# Application
Integration of MCP servers such as GitHub, Canva, Figma and Notion streamlines planning, design, coding and research in one workflow. This consolidation reduces context switching and accelerates delivery. With secure OAuth-based access and practical tools available directly in the editor or chat, you can improve collaboration and establish faster feedback loops throughout the product lifecycle.
Here are some exploit cases for MCP servers:
- GitHub: Open PRs, triage issues and trigger CIs from chat/editor to speed up shipping.
- Canva: Generate designs, autofill templates and export assets (PNG/JPG/PDF) without leaving the IDE/chat.
- Figma: Turn frames into startup code and retrieve variables/components for design-consistent results.
- Concept: Search, create and update pages to automate documents, tasks and status reports.
- Face Hugging: Explore models/datasets/spaces and run Gradio tools for rapid evaluation and prototyping.
- Linear: Create/update issues and projects, automate triage, and post status updates from your assistant.
- Firecrall: Index/retrieve sites using JS rendering and return structured Markdown/JSON/HTML to ground AI responses.
Abid Ali Awan (@1abidaliawan) is a certified data science professional who loves building machine learning models. Currently, he focuses on creating content and writing technical blogs about machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.