Best MCP Servers for TypeScript Developers in 2026

The best MCP servers for TypeScript developers include Anthropic's official reference servers (filesystem, Git, GitHub, fetch), Playwright for browser automation, and a growing ecosystem of npm-installable servers covering everything from database access to web scraping and development tooling. TypeScript was the first language to receive an official MCP SDK, and many of the most mature and widely-used MCP servers in the ecosystem are built with it. If you work in TypeScript or JavaScript, you have access to the richest selection of production-ready MCP servers available today.

This guide covers the top MCP servers that are either built in TypeScript/JavaScript or most useful for web and TypeScript-centric development. For each server, we include what it does, how to install it, and a configuration example. For broader rankings, see the Best MCP Servers 2026 guide.

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Quick Reference Table

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Official Reference Servers

These servers are maintained by Anthropic as part of the MCP reference implementation. They are the gold standard for quality, security, and documentation.

Filesystem Server

The most-used MCP server in the entire ecosystem. It gives the AI assistant sandboxed read/write access to directories you explicitly allow.

Key features:

• Read and write files with explicit directory allowlisting
• Search files by pattern (glob matching)
• Create, move, and delete files and directories
• Get file metadata and directory listings

Installation and configuration:

npx -y @modelcontextprotocol/server-filesystem /path/to/allowed/dir

Claude Desktop configuration:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/you/projects",
        "/Users/you/documents"
      ]
    }
  }
}

The arguments after the package name are the directories the server is allowed to access. Any attempt to read or write outside these directories is denied, providing a strong security boundary.

GitHub MCP Server

The official GitHub MCP server provides comprehensive GitHub integration -- repository management, pull requests, issues, code search, and more.

Key features:

• Create, read, and manage repositories
• Pull request operations (create, review, merge, comment)
• Issue management (create, label, assign, close)
• Code and repository search
• Branch and file operations
• GitHub Actions workflow management

Claude Desktop configuration:

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_personal_access_token"
      }
    }
  }
}

Why TypeScript developers love it: If your workflow involves GitHub -- and most TypeScript/JavaScript development does -- this server transforms your AI assistant into a GitHub power tool. It can create PRs from diffs, review code, manage issues, and search across repositories.

For more on version control servers, see our version control MCP servers guide.

Git Server

A local Git operations server that works with repositories on your filesystem. Unlike the GitHub server (which uses the GitHub API), this server runs Git commands directly.

Key features:

• Git status, diff, log, and blame
• Commit, branch, and tag operations
• Stash management
• Repository cloning

Claude Desktop configuration:

{
  "mcpServers": {
    "git": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-git"]
    }
  }
}

Best for: Developers who want the AI to understand their local Git history, create commits, and manage branches without needing a GitHub connection.

Fetch Server

The official web content fetching server. It retrieves web pages, converts HTML to markdown, and makes web content available to the AI model.

Key features:

• Fetch any URL and return content as markdown
• Handles HTML-to-markdown conversion automatically
• Supports custom headers and request options
• Respects robots.txt directives

Claude Desktop configuration:

{
  "mcpServers": {
    "fetch": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-fetch"]
    }
  }
}

Best for: Giving the AI access to documentation, API references, and web content during development. Essential for research-heavy workflows.

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Browser Automation Servers

Playwright MCP Server

Microsoft's Playwright MCP server provides full browser automation capabilities. This is the most powerful browser automation MCP server available and a must-have for web developers.

Key features:

• Navigate to URLs and interact with page elements
• Click, type, select, and scroll operations
• Take screenshots and capture page state
• Execute JavaScript in the browser context
• Handle authentication flows and multi-page workflows
• Accessibility-tree-based interaction for reliable element targeting

Installation:

npx -y @playwright/mcp

Claude Desktop configuration:

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": ["-y", "@playwright/mcp"]
    }
  }
}

Why it matters: Playwright MCP lets the AI assistant test your web applications, fill out forms, scrape dynamic content, and automate browser-based workflows. For TypeScript developers building web applications, this is transformative -- the AI can actually see and interact with what you are building.

For more browser automation options, see our browser automation servers guide.

Puppeteer Server (Official)

The official Puppeteer MCP server from Anthropic. While Playwright has largely superseded Puppeteer in the ecosystem, the Puppeteer server remains a solid option.

Key features:

• Full Chromium browser automation
• Screenshot capture and PDF generation
• JavaScript execution in the browser
• Form interaction and navigation

Claude Desktop configuration:

{
  "mcpServers": {
    "puppeteer": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-puppeteer"]
    }
  }
}

Best for: Teams already using Puppeteer in their test suites who want consistency with their existing browser automation tooling.

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Web Search and Content Servers

Brave Search Server

Provides web search capabilities through the Brave Search API. This gives the AI assistant the ability to search the internet for current information.

Key features:

• Web search with rich results (titles, snippets, URLs)
• News search for current events
• Local search for businesses and places
• Configurable result count and filters

Claude Desktop configuration:

{
  "mcpServers": {
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@anthropic/mcp-server-brave-search"],
      "env": {
        "BRAVE_API_KEY": "your-api-key"
      }
    }
  }
}

Best for: Any developer workflow that requires up-to-date information -- checking API documentation, researching error messages, finding examples, or staying current with library releases.

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Development Tool Servers

Memory Server (Official)

The official Memory server creates a persistent knowledge graph that the AI assistant can read and write across conversations. It is built on a simple entity-relation model stored as a local JSON file.

Key features:

• Create entities with observations (facts)
• Define relations between entities
• Query the knowledge graph
• Persistent storage across sessions

Claude Desktop configuration:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    }
  }
}

Best for: Giving the AI assistant persistent memory about your project architecture, team conventions, and decisions that should carry across conversations.

Sentry MCP Server

The official Sentry MCP server connects the AI assistant to your Sentry error tracking platform, enabling it to investigate errors, read stack traces, and help debug production issues.

Key features:

• Search and list issues across projects
• Read error details, stack traces, and breadcrumbs
• View release and deployment information
• Access event data for debugging

Claude Desktop configuration:

{
  "mcpServers": {
    "sentry": {
      "command": "npx",
      "args": ["-y", "@sentry/mcp-server"],
      "env": {
        "SENTRY_AUTH_TOKEN": "your-sentry-auth-token"
      }
    }
  }
}

Best for: TypeScript/JavaScript teams using Sentry for error tracking. The AI can investigate production errors, correlate them with code changes, and suggest fixes.

Cloudflare MCP Server

Cloudflare's official MCP server provides access to Cloudflare Workers, KV storage, R2 object storage, and other Cloudflare services.

Key features:

• Deploy and manage Cloudflare Workers
• Read and write KV namespaces
• Manage R2 buckets and objects
• DNS and zone management
• Access analytics and logs

Claude Desktop configuration:

{
  "mcpServers": {
    "cloudflare": {
      "command": "npx",
      "args": ["-y", "@cloudflare/mcp-server"],
      "env": {
        "CLOUDFLARE_API_TOKEN": "your-api-token"
      }
    }
  }
}

Best for: TypeScript developers building on Cloudflare's edge platform. The AI can help deploy Workers, manage KV data, and troubleshoot edge computing issues. For more on cloud servers, see our cloud provider MCP servers guide.

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Building Your Own TypeScript MCP Server

The official @modelcontextprotocol/sdk TypeScript SDK provides everything you need to build custom MCP servers. If no existing server covers your use case, building one in TypeScript is straightforward.

Installation:

npm install @modelcontextprotocol/sdk

Minimal server example:

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

const server = new McpServer({
  name: "my-server",
  version: "1.0.0",
});

server.tool(
  "analyze_package",
  "Analyze an npm package and return its metadata",
  {
    packageName: z.string().describe("The npm package name"),
  },
  async ({ packageName }) => {
    const response = await fetch(
      `https://registry.npmjs.org/${packageName}`
    );
    const data = await response.json();
    return {
      content: [
        {
          type: "text",
          text: `Package: ${data.name}\nVersion: ${data["dist-tags"].latest}\nDescription: ${data.description}`,
        },
      ],
    };
  }
);

const transport = new StdioServerTransport();
await server.connect(transport);

For a full tutorial, see our guide on building MCP servers in Node.js.

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Recommended TypeScript Developer Setup

Here is the MCP server configuration we recommend for TypeScript/JavaScript developers:

This combination covers the complete TypeScript development lifecycle: writing code, testing in the browser, managing version control, debugging production issues, and accessing documentation.

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Installation Tips for TypeScript Developers

Use npx for zero-install servers. Most TypeScript MCP servers are designed to run via npx, which downloads and executes them without permanent installation:

# No need to install -- npx handles it
npx -y @modelcontextprotocol/server-filesystem /path/to/dir

The -y flag auto-confirms the package installation prompt.

Pin versions for team consistency. When sharing MCP configurations across a team, specify package versions:

npx -y @modelcontextprotocol/server-filesystem@1.2.0 /path/to/dir

Use Node.js 18 or later. MCP servers built with the TypeScript SDK require Node.js 18+ for native fetch support and modern JavaScript features. Most work best with Node.js 20 or 22 LTS.

Check your PATH. If npx commands fail, ensure Node.js and npm are on your system PATH. In Claude Desktop or Cursor configurations, you may need to specify the full path to npx:

{
  "mcpServers": {
    "filesystem": {
      "command": "/usr/local/bin/npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"]
    }
  }
}

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What to Read Next

• Best MCP Servers 2026 -- Our comprehensive rankings across all server categories
• Best MCP Servers for Python -- The Python counterpart to this guide
• Building MCP Servers in Node.js -- Step-by-step tutorial for building TypeScript MCP servers
• How to Choose an MCP Server -- Framework for evaluating and selecting servers
• Browse All MCP Servers -- Explore the full directory