Top 5 MCP Servers Every Developer Should Have in VS Code

The Model Context Protocol (MCP), open-sourced by Anthropic, has transformed how we interact with AI in our development workflows. Instead of treating your AI coding assistant as an isolated text generator in VS Code (via extensions like Cline, Roo Code, GitHub Copilot, Continue, or Claude Dev), MCP turns it into an agentic powerhouse that can interact directly with your files, browsers, issue trackers, and internal knowledge bases.

If you're already using MCP-compatible extensions in VS Code, your next step is choosing the right servers to supercharge your daily productivity.

Here are the Top 5 MCP servers every developer should configure in VS Code today.

Developed around Microsoft's open-source markitdown

utility, this MCP server seamlessly converts binary and rich document formats—including PDFs, Word documents ( .docx), Excel spreadsheets (.xlsx), PowerPoint slides (.pptx), and audio transcripts—into clean, structured

LLMs are text engines. When you feed a 40-page technical specification PDF or architecture document into an LLM context window:

MarkItDown solves this: It strips away the layout bloat and produces pristine GitHub-flavored Markdown. Your AI assistant parses the distilled text instantly using a fraction of the original token footprint.

.docx

format into actionable task lists.mcp.json

)

{
  "microsoft/markdown": {
    "type": "stdio",
    "command": "uvx",
    "args": [
      "markdown-mcp@0.1a4"
    ],
    "gallery": "https://api.mcp.github.com",
    "version": "1.0.0"
  }
}

The Playwright MCP Server (or Puppeteer MCP equivalent) equips your AI assistant with a full headless/headed Chromium browser engine. It gives the model the ability to visit URLs, take screenshots, click buttons, fill out forms, and scrape dynamic single-page applications (SPAs).

Static web fetchers (curl

/ fetch

) fail on modern client-rendered web applications (React, Angular, Vue). When debugging frontend issues, testing authentication flows, or checking the latest documentation for an unindexed library, your AI needs real browser execution.

With Playwright MCP:

http://localhost:3000

), inspect console logs, take visual screenshots of a broken UI component, and fix the CSS/JSX automatically.http://localhost:5173

, take a screenshot, and tell me if the dark theme padding looks right."mcp.json

)

{
  "microsoft/playwright-mcp": {
    "type": "stdio",
    "command": "npx",
    "args": [
      "@playwright/mcp@latest"
    ],
    "gallery": "https://api.mcp.github.com",
    "version": "0.0.1-seed"
  }
}

The official GitHub MCP server connects your LLM directly to GitHub's REST & GraphQL APIs and GitHub Copilot services.

Developers spend a huge portion of their day switching between VS Code and the browser just to check open PR reviews, find issue numbers, reference code in remote repositories, or inspect CI/CD failure logs.

With the GitHub MCP server configured:

main

, write a comprehensive summary, and open a draft Pull Request on GitHub."auth-service

repo on GitHub to see how they handle JWT token rotation."mcp.json

)

{
  "io.github.github/github-mcp-server": {
    "type": "http",
    "url": "https://api.githubcopilot.com/mcp/",
    "gallery": "https://api.mcp.github.com",
    "version": "1.9.0"
  }
}

The Atlassian Rovo / Atlassian MCP server links your local AI agent to your company's Jira tracking and Confluence knowledge base systems via Atlassian's remote MCP endpoint.

Almost every enterprise engineering team organizes work around Jira tickets and Confluence documentation. Before MCP, you had to manually copy acceptance criteria from Jira, paste them into your AI chat, copy the response, and switch back to update the status.

With the Atlassian MCP server:

JIRA-4089

). The AI reads the user story, acceptance criteria, edge cases, and attached comments in real time.BACK-2041

, inspect our repository, and implement the requested endpoint with unit tests."FE-892

."mcp.json

)

{
  "com.atlassian/atlassian-mcp-server": {
    "type": "http",
    "url": "https://mcp.atlassian.com/v1/mcp",
    "gallery": "https://api.mcp.github.com",
    "version": "1.1.3"
  }
}

The Mermaid MCP Server enables your AI assistant to generate, validate, and render complex diagrams (Flowcharts, Sequence diagrams, Entity Relationship (ER) diagrams, Class diagrams, and State charts) using Mermaid.js syntax directly in your IDE.

Code architecture is inherently visual. Explaining complex asynchronous workflows, microservice boundaries, or database schemas with plain text often leads to misunderstandings.

With the Mermaid MCP server:

mcp.json

)

{
  "modelcontextprotocol/server-mermaid": {
    "type": "stdio",
    "command": "npx",
    "args": [
      "@modelcontextprotocol/server-mermaid"
    ],
    "gallery": "https://api.mcp.github.com",
    "version": "0.1.0"
  }
}

mcp.json

Configuration Here is the full consolidated mcp.json

you can add directly to your VS Code MCP configuration:

{
  "microsoft/markdown": {
    "type": "stdio",
    "command": "uvx",
    "args": [
      "markdown-mcp@0.1a4"
    ],
    "gallery": "https://api.mcp.github.com",
    "version": "1.0.0"
  },
  "com.atlassian/atlassian-mcp-server": {
    "type": "http",
    "url": "https://mcp.atlassian.com/v1/mcp",
    "gallery": "https://api.mcp.github.com",
    "version": "1.1.3"
  },
  "microsoft/playwright-mcp": {
    "type": "stdio",
    "command": "npx",
    "args": [
      "@playwright/mcp@latest"
    ],
    "gallery": "https://api.mcp.github.com",
    "version": "0.0.1-seed"
  },
  "io.github.github/github-mcp-server": {
    "type": "http",
    "url": "https://api.githubcopilot.com/mcp/",
    "gallery": "https://api.mcp.github.com",
    "version": "1.9.0"
  },
  "modelcontextprotocol/server-mermaid": {
    "type": "stdio",
    "command": "npx",
    "args": [
      "@modelcontextprotocol/server-mermaid"
    ],
    "gallery": "https://api.mcp.github.com",
    "version": "0.1.0"
  }
}

Which MCP servers have become essential in your daily coding setup? Have you built a custom MCP server for your team? Let's discuss in the comments below!