Lists6 min read

Top 10 Most Popular MCP Servers in 2026 (By Use & GitHub Stars)

The most widely-used MCP servers in 2026, ranked by popularity, GitHub stars, and real-world adoption. These are the servers developers install first.

By MyMCPTools Team·

With over 500 MCP servers in the ecosystem, which ones are developers actually using? We analyzed GitHub stars, installation patterns, and community discussion to identify the ten most popular MCP servers heading into mid-2026.

1. Filesystem MCP Server — 15,000+ GitHub Stars

The filesystem server is the most universally installed MCP server. It's the first one most developers add, and it remains essential across virtually every workflow — from coding to writing to research.

Why it's #1: File access is the foundation of every AI-assisted coding workflow. No server does more to justify the MCP setup investment immediately.

  • Read/write files with proper encoding
  • Directory navigation and search
  • Configurable access boundaries
  • Maintained by Anthropic (official)

2. GitHub MCP Server — 12,000+ Stars

GitHub's MCP server rapidly became one of the most starred in the ecosystem after GitHub released the official version in early 2025. For developers, it's the second installation after filesystem.

Why it's #2: Most software development work involves GitHub in some way. PRs, issues, code search, and repo browsing are daily activities that MCP unlocks for AI.

  • Issue and PR management
  • Code search across repositories
  • Commit history and diffs
  • Official GitHub-maintained server

3. PostgreSQL MCP Server — 8,500+ Stars

The PostgreSQL MCP server is the most popular database integration by far. Its schema introspection capability — letting AI understand your actual data model — is transformative for backend development.

Why it's #3: PostgreSQL is the dominant production database for web applications. Giving AI accurate schema context for query writing is enormously practical.

4. Brave Search MCP Server — 7,200+ Stars

Web search is one of the most frequent things people want AI to do. The Brave Search server delivers current, unfiltered search results without the rate limiting and terms-of-service concerns of scraping Google.

Why it's #4: Information that post-dates the training cutoff — docs, changelogs, error messages — requires real web search. Brave Search delivers this reliably.

5. Puppeteer MCP Server — 6,800+ Stars

Browser automation is a power-user capability that Puppeteer MCP makes accessible. From automated testing to web scraping to UI debugging, it covers a wide range of workflows.

Why it's #5: Browser control is a uniquely powerful capability that few other tools provide. The ability to "show me what the page looks like" is genuinely novel.

6. Playwright MCP Server — 6,300+ Stars

Playwright's MCP server is close behind Puppeteer in popularity, and preferred by many testing-focused developers for its more modern API and multi-browser support.

Why it's #6: Playwright is the current standard for end-to-end browser testing. Its MCP server lets AI write, run, and debug Playwright tests directly.

7. Slack MCP Server — 5,900+ Stars

For team-based developers, Slack holds vast amounts of context that never makes it into code comments or documentation. The Slack MCP server mines that institutional knowledge.

Why it's #7: "Why was this decision made?" is one of the most common developer questions. The answer is often in Slack, and now AI can find it.

8. Notion MCP Server — 5,200+ Stars

Notion has become the central hub for team knowledge at many companies. Its MCP server gives AI access to that documentation layer, enabling context-aware assistance that actually knows your team's processes.

Why it's #8: Documentation lives in Notion for millions of teams. AI that can read your runbooks and wikis is dramatically more useful than AI that has to ask you for them.

9. Memory MCP Server — 4,800+ Stars

The Memory MCP server (from Anthropic) provides persistent, cross-conversation memory through a knowledge graph. It lets AI assistants remember facts, preferences, and context across sessions.

Why it's #9: AI forgetting context between sessions is a major usability limitation. Memory MCP solves this with structured, searchable persistence.

10. Fetch MCP Server — 4,500+ Stars

Sometimes you just need your AI to fetch a URL and read it — documentation, API responses, web pages. The Fetch server is the simplest possible web access mechanism, and its simplicity is exactly why it's so widely used.

Why it's #10: The lowest barrier to web access. No API key required, works on any URL, and handles HTML-to-markdown conversion automatically.

Honorable Mentions

  • SQLite MCP Server — The lightweight alternative to PostgreSQL for local databases
  • Supabase MCP Server — Rapid adoption driven by Supabase's developer popularity
  • Firecrawl MCP Server — For structured web scraping at scale
  • EXA MCP Server — AI-optimized semantic web search
  • Linear MCP Server — Popular in engineering-forward teams

The Pattern: What Makes a Popular MCP Server?

Looking at the top 10, a few patterns emerge:

  1. Official servers win — Servers maintained by the original company (GitHub, Anthropic) get more trust and stars
  2. Universal applicability — Servers useful to almost every developer (filesystem, search) dominate over niche tools
  3. Instant ROI — Servers where the benefit is immediately obvious attract faster adoption
  4. Safety-first defaults — Read-only defaults for dangerous capabilities (database writes, file deletion) reduce hesitation to install

Browse the full MyMCPTools catalog — we track all 500+ MCP servers with rankings, installation guides, and real-world use cases.

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🔧 MCP Servers Mentioned in This Article

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Filesystem

Secure file operations with configurable access controls. Read, write, and manage files safely.

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GitHub MCP Server

The GitHub MCP server is GitHub's official Model Context Protocol integration, giving AI assistants like Claude and Cursor direct, authenticated access to the GitHub platform and its full developer surface. With this MCP server, you can ask your AI to read and write repository files, create and merge branches, open and review pull requests, comment on and close issues, trigger GitHub Actions workflows, search across code repositories with GitHub's code search, and inspect commit history — all through natural-language prompts in your AI interface. Developers use it to supercharge code review workflows, automate issue triage, generate PR descriptions from diffs, bulk-update repository settings, and wire AI agents into CI/CD pipelines. The GitHub MCP server connects via a GITHUB_PERSONAL_ACCESS_TOKEN environment variable with scopes for the operations you need, keeping authentication clean and auditable. Install with Docker: `docker run -e GITHUB_PERSONAL_ACCESS_TOKEN=<token> ghcr.io/github/github-mcp-server` — or configure it as a remote MCP server in Claude Desktop, Cursor, VS Code, Windsurf, and Cline. With over 8,000 GitHub stars, it is the most widely deployed official code-platform MCP server and the reference implementation for AI-native GitHub automation.

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PostgreSQL MCP Server

The PostgreSQL MCP server is an official Model Context Protocol server maintained by Anthropic that gives AI assistants read-only access to PostgreSQL databases. By connecting Claude Desktop, Cursor, or VS Code to a running Postgres instance, developers can ask natural-language questions about their data schema, run exploratory SQL queries, inspect table structures, list available schemas, and analyze query results — all without leaving their AI chat interface. The server operates in read-only mode by design, preventing any accidental data mutations, making it safe to connect against production databases for reporting, debugging, and data exploration workflows. Core tools include executing SELECT queries, listing tables and schemas, describing column types and constraints, and inspecting indexes. Setup requires a running PostgreSQL instance and a standard connection string in postgres:// format. Install via npx using the @modelcontextprotocol/server-postgres package, passing your database URI as an argument. Teams use it to power data analysis conversations, generate schema documentation automatically, debug production data anomalies by asking Claude to inspect table contents, and build ad-hoc reports through natural-language SQL generation. Works with any PostgreSQL 12+ instance including Amazon RDS, Supabase, Neon, and self-hosted deployments.

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Brave Search MCP Server

The Brave Search MCP Server is the official server from Brave that gives AI assistants privacy-first web search through the independent Brave Search API — no tracking, no profiling, and results drawn from Brave's own web index rather than Google or Bing. It exposes five distinct tools that map directly to the Brave Search API endpoints: brave_web_search for general queries with pagination, freshness filters, and safe-search controls; brave_local_search for businesses, restaurants, and points of interest with automatic location filtering; brave_news_search for recent articles and current events; brave_image_search for image discovery; and brave_video_search for finding videos across the web. Authentication uses a single BRAVE_API_KEY (free tier available at brave.com/search/api) or a mounted BRAVE_API_KEY_FILE for Docker-secret setups. Install in Claude Desktop, Cursor, Windsurf, or VS Code with one npx command and choose stdio or streamable-HTTP transport. Because Brave operates its own crawler and index, the Brave Search MCP server is a strong choice for developers who want an alternative to Google-dependent search tools, need reproducible non-personalized results, or care about data privacy in agent workflows — Claude can pull fresh web context, verify facts, and research topics without leaking queries to ad-tech pipelines.

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Puppeteer

Browser automation and web scraping with Puppeteer.

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Playwright MCP Server (ExecuteAutomation)

ExecuteAutomation's Playwright MCP Server is a community-maintained browser automation server (5,500+ GitHub stars) distinct from Microsoft's official microsoft/playwright-mcp — it leans further into test generation and visual workflows rather than pure accessibility-tree navigation. Beyond standard navigate/click/fill/screenshot tools, it can generate Playwright test code from a live browsing session, scrape full page content and structured data, execute arbitrary JavaScript in the page context, and drive API testing (GET/POST/PUT/PATCH/DELETE requests) alongside the browser tools. A standout feature is 143 real device presets for responsive testing — a single call like playwright_resize({ device: "iPhone 13" }) swaps in the correct viewport, user-agent, touch support, and device pixel ratio, and natural-language prompts like "test on iPad landscape" work directly through Claude. Install via `npm install -g @executeautomation/playwright-mcp-server`, Smithery, mcp-get, or the one-line `claude mcp add --transport stdio playwright npx @executeautomation/playwright-mcp-server` for Claude Code; VS Code one-click installers are also published. No API keys are required — it launches and drives a local Chromium/Firefox/WebKit browser directly. Choose this over Microsoft's official server when you specifically need auto-generated Playwright test scripts, JS execution, or device-emulation testing; choose Microsoft's for pure lightweight accessibility-tree page navigation.

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Slack MCP Server

The Slack MCP server (built by Ivan Korotovsky) connects AI assistants like Claude, Cursor, and Windsurf directly to Slack workspaces, enabling conversational access to your team communication channels without requiring workspace admin approval for a bot install. Its standout feature is a "no permission" stealth mode — it authenticates using your own personal Slack session tokens (xoxc/xoxd, or a stored browser session) rather than requiring a Slack App with OAuth scopes, so it works even in locked-down workspaces where you cannot create bots. It also supports full OAuth Bot Token auth and Enterprise/GovSlack deployments for teams that prefer a conventional app install. Tools exposed include reading channel and DM/group-DM history with smart pagination, searching messages across the workspace, posting messages and thread replies, listing channels and users, and adding reactions. Common use cases include automating standups by posting summaries directly to team channels, searching past Slack conversations to surface decisions or context, monitoring specific channels for keywords or alerts, and drafting replies to thread discussions — all from natural-language prompts. Supports both Stdio and SSE transports plus proxy configuration for corporate networks. Install with: `npx slack-mcp-server@latest --transport stdio`. A separate official-style integration exists from Zencoder (@zencoderai/slack-mcp-server) for teams that prefer standard Bot Token OAuth over session-token auth. Compatible with Claude Desktop, Cursor, VS Code, Windsurf, and Cline.

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Notion MCP Server

The Notion MCP Server is the official integration from Notion that connects AI assistants directly to your Notion workspace via the Notion REST API. With 3,500+ GitHub stars, it is the canonical MCP tool for bringing Notion's knowledge management capabilities into Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. The server exposes a rich set of tools: search your entire workspace by keyword and return matching pages and databases; retrieve full page content and block trees; create new pages inside any parent page or workspace section; update, append, or delete block content on existing pages; list all databases your integration has access to; query database entries with filter and sort parameters; retrieve individual blocks or nested children by block ID; and add comments to pages. Authentication uses a Notion integration token — create an internal integration at notion.so/my-integrations, share specific pages or databases with it, and set NOTION_API_KEY in your environment. Install with a single npx command. The Notion MCP Server is especially powerful for AI workflows that span documentation retrieval, project planning, and knowledge capture — Claude can read product specs from Notion, draft new pages from conversation output, log structured data into databases, and search across thousands of notes without any manual copy-paste.

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Memory

Knowledge graph-based persistent memory system. Store and retrieve contextual information.

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Fetch

Web content fetching and conversion for efficient LLM usage. Extract readable content from any URL.

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