Guides7 min read

Best Free MCP Servers 2026: Open-Source Tools With No API Key Required

The top free and open-source MCP servers you can run today without a paid account or API key. Filesystem, databases, browser automation, and more — all free.

By MyMCPTools Team·

One of the best things about the MCP ecosystem is how much of it is completely free. The Model Context Protocol is open-source, most community servers are MIT-licensed, and many of the most powerful tools require zero paid subscriptions or API keys.

Here are the best free MCP servers you can start using today.

What Makes a Good Free MCP Server?

Free doesn't always mean limited. The best free MCP servers are:

  • No external dependencies — runs entirely locally
  • No API keys or accounts — just install and use
  • Open-source — MIT or Apache licensed, auditable
  • Actively maintained — recent commits, responsive issues

1. Filesystem MCP Server — Free & Essential

The official Filesystem MCP server is the most fundamental free tool in the ecosystem. It gives your AI direct access to read and write files on your local machine.

Why it's great: No API key. No account. Just point it at a directory and your AI can read, write, search, and organize files.

npx @modelcontextprotocol/server-filesystem /path/to/directory

Best for: Every workflow. This should be the first MCP server anyone installs.

2. Playwright MCP Server — Free Browser Automation

Full browser control — scraping, testing, screenshots — completely free. No Browserbase account, no proxy service, no API key.

npx @playwright/mcp@latest --headless

Best for: Web scraping, end-to-end testing, competitor research, UI automation.

3. SQLite MCP Server — Free Local Database

Query any SQLite database file on your local machine. SQLite is built into most systems, so this works with zero setup beyond the MCP server itself.

npx @modelcontextprotocol/server-sqlite /path/to/database.db

Best for: Local app databases, data analysis, prototype backends, mobile app data files.

4. GitHub MCP Server — Free with GitHub Account

The GitHub MCP server requires a GitHub account (free tier works), but no paid subscription. You just need a Personal Access Token.

npx @modelcontextprotocol/server-github

Best for: Developers who want AI-powered access to their repos, issues, and PRs.

5. Memory MCP Server — Free Knowledge Graph

The Memory MCP server maintains a persistent knowledge graph across conversations. Your AI can remember facts, relationships, and context between sessions — all stored locally.

npx @modelcontextprotocol/server-memory

Best for: Giving Claude long-term memory, building a personal knowledge base, tracking project context across sessions.

6. Brave Search MCP — Free Web Search

Brave Search offers a free tier API (2,000 queries/month) for web search. The MCP server hooks directly into it, giving your AI real-time web search without a Perplexity or Tavily subscription.

Sign up for a free API key at brave.com/search/api, then:

BRAVE_API_KEY=your_key npx @modelcontextprotocol/server-brave-search

Best for: Grounding AI responses with current web data. The free tier is generous enough for personal use.

7. Fetch MCP Server — Free URL Fetching

The Fetch MCP server lets your AI retrieve content from any URL — converting HTML to markdown for clean, readable text. Completely free, no accounts.

npx @modelcontextprotocol/server-fetch

Best for: Reading documentation, extracting content from web pages, following links during research.

8. PostgreSQL MCP Server — Free with Local Postgres

If you run PostgreSQL locally (many developers do), the Postgres MCP server is completely free. Point it at your local database and your AI can query and understand your schema.

npx @modelcontextprotocol/server-postgres postgresql://localhost/mydb

Best for: Local development databases, schema exploration, writing complex queries conversationally.

Free vs. Paid: What You Miss

The main things you need a paid service for:

  • Cloud databases — Supabase, Neon, PlanetScale (need account, some have free tiers)
  • AI-enhanced search — Perplexity, Exa (better quality but paid above free limits)
  • Cloud browser sessions — Browserbase, Browserless (needed for production scraping at scale)
  • Specialized data — Stock prices, flight data, maps (APIs with usage limits)

For personal productivity, local development, and most research workflows, the free tier is everything you need.

Getting Started: Free Starter Stack

Here's the optimal free MCP starter configuration for your claude_desktop_config.json:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "~/Documents", "~/Desktop"]
    },
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    },
    "fetch": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-fetch"]
    },
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-brave-search"],
      "env": { "BRAVE_API_KEY": "your_free_key" }
    }
  }
}

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🔧 MCP Servers Mentioned in This Article

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Filesystem MCP Server

sandboxed read, write, edit, move and search access to an explicit whitelist of local directories, and it is the reference implementation most other filesystem MCP servers are modelled on. Shipped by Anthropic in the official modelcontextprotocol/servers monorepo (89,000+ stars, actively maintained), it is a Node.js server published to npm as @modelcontextprotocol/server-filesystem. The part worth understanding before you install is the access-control model, because there are now two ways to grant directories and they do not compose. Method one is command-line arguments: `npx -y @modelcontextprotocol/server-filesystem /path/one /path/two`. Method two, and the one the maintainers recommend, is MCP Roots — a client that supports the roots protocol sends its roots at initialization, and those roots COMPLETELY REPLACE any directories passed on the command line, then get replaced again on every `notifications/roots/list_changed`. That means allowed directories can change at runtime without restarting the server, but it also means a roots-capable client silently overrides your CLI arguments. If the server starts with no arguments and the client either does not support roots or sends an empty list, initialization throws an error. The tool surface is broad: `read_text_file` (with mutually exclusive `head`/`tail` line windows), `read_media_file` returning base64 image/audio content blocks, `read_multiple_files` which keeps going when individual reads fail, `write_file`, `edit_file`, `create_directory`, `list_directory`, `list_directory_with_sizes`, `move_file`, `search_files`, `directory_tree`, `get_file_info` and `list_allowed_directories`. `edit_file` is the one to learn — it does line-based and multi-line pattern matching with indentation detection and preservation, returns a git-style diff with context, and supports `dryRun: true` so you can preview a change before applying it; the maintainers recommend always running a dry run first. Every operation is refused outside the allowed set, and `list_allowed_directories` is the fastest way to confirm what the server actually believes it can touch.

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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. One maintenance fact the listings omit, checked against GitHub and npm on 2026-08-15: this repository has not been pushed since 2025-12-13 and npm 1.0.12 was published 2025-12-12, with 32 issues open. It is neither archived nor deprecated, so nothing warns you at install time — it installs, connects and works while its Playwright dependency drifts, whereas Microsoft's server ships continuously. Weigh the codegen, 143-preset device emulation and HTTP request tools against running an eight-month-old build. Note also that headless defaults to false on playwright_navigate, so it opens a visible browser window unless told otherwise, and that stdio-mode logging goes only to ~/playwright-mcp-server.log to keep the JSON-RPC stream clean.

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GitHub MCP Server

authenticated access to the whole GitHub platform — repositories, files, branches, issues, pull requests, Actions runs, security alerts, discussions and notifications — from Claude, Cursor, VS Code, Copilot CLI and any other MCP host. There is no npm package for this server, and that trips up most people who try to install it: `@github/mcp-server` is not published to the npm registry, so any `npx` line you find for it will fail. GitHub ships it three other ways. The easiest is the hosted remote server at https://api.githubcopilot.com/mcp/, which needs no install at all — point an HTTP-transport MCP client at that URL and log in with OAuth (VS Code 1.101+, Claude Desktop, Claude Code, Cursor and Windsurf all support this). The second is the official Docker image ghcr.io/github/github-mcp-server, which is what the copy-paste command on this page runs; on github.com it now performs a browser-based OAuth login on first use and keeps the token in memory only, which is why the published Docker configs map a fixed loopback callback port (-p 127.0.0.1:8085:8085 with GITHUB_OAUTH_CALLBACK_PORT=8085) so the container can receive the callback. Prefer a token? Set GITHUB_PERSONAL_ACCESS_TOKEN instead — it takes precedence over OAuth, and the minimum useful scopes are repo, read:org and read:packages. The third is the native Go binary from the repository's releases, which needs no fixed port for the OAuth flow. GitHub Enterprise Server has no hosted option: use the local server with --gh-host or GITHUB_HOST set to your instance (include the https:// scheme — it defaults to http://, which GHES rejects). Toolsets can be narrowed with GITHUB_TOOLSETS, and an insiders channel is available at /mcp/insiders or via the X-MCP-Insiders header.

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SQLite MCP Server

conversational read and write access to any SQLite database file, plus a running business-insights memo that accumulates what the analysis turns up. It is a Python server on PyPI, not a Node one, and the difference is the single most common reason setups fail here: `@modelcontextprotocol/server-sqlite` does not exist on npm, so every npx line for it 404s. The working invocation is `uvx mcp-server-sqlite --db-path /path/to/database.db` (PyPI package mcp-server-sqlite, v2025.4.25), or the equivalent `mcp/sqlite` Docker image with a volume mounted at /mcp. The --db-path argument is required and points at the .db file; the server will create it if it is not there yet. Six tools are exposed, deliberately split by risk: read_query for SELECT only, write_query for INSERT/UPDATE/DELETE, create_table for DDL, list_tables and describe-table for schema introspection, and append_insight, which writes into a memo://insights resource that updates live as findings accumulate — that resource, not the SQL tools, is what makes this server different from a generic database connector. It also ships an mcp-demo prompt that takes a business topic, generates a plausible schema and sample data, and walks through an analysis end to end, which is the fastest way to see the memo behaviour without wiring up real data. One caveat to weigh before adopting it: this is an Anthropic reference implementation that now lives in modelcontextprotocol/servers-archived, archived on 2025-05-28. The published package still installs and runs, but it is frozen — no new features, no dependency updates, and no security patches.

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PostgreSQL MCP Server

The PostgreSQL MCP server was the Model Context Protocol reference server for Postgres, and it is retired: the source now sits in modelcontextprotocol/servers-archived — a repository GitHub reports as archived, described as "Reference MCP servers that are no longer maintained" — and the npm package @modelcontextprotocol/server-postgres carries a deprecation notice reading "Package no longer supported." It still installs and still runs, which is why most third-party setup articles have not caught up. What it provides is deliberately small: a single tool, query, which executes read-only SQL inside a READ ONLY transaction, plus per-table schema information exposed as MCP resources at postgres://<host>/<table>/schema, with column names and data types discovered from database metadata. There is no index advice, no health check, no separate schema-listing tool, and no write mode. Install is npx @modelcontextprotocol/server-postgres with a postgres:// connection string as the argument. For active work against Postgres, the maintained alternative is Postgres MCP Pro (crystaldba/postgres-mcp), which exposes nine tools including index tuning against hypothetical indexes and a database health check, and has an explicit restricted access mode; if your database is hosted on Supabase or Neon, their platform servers add branching and logs that a raw Postgres connection cannot see. Reach for this archived server only when you want the smallest possible surface — one process, one read-only query tool, nothing else.

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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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Memory

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

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