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

📁

Filesystem

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

Local
🌍

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.

Local
💻

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.

Auth required
🗄️

SQLite MCP Server

The SQLite MCP server is an official Anthropic reference implementation that gives AI assistants direct, conversational access to SQLite databases — the world's most widely deployed database engine. Through natural language, you can ask Claude or Cursor to run SELECT queries, insert and update rows, inspect table schemas, create new tables, and generate business intelligence reports without writing a single SQL statement manually. Common use cases include exploring local data files, prototyping application schemas, auditing CSV imports, running ad-hoc analytics on app databases, and letting AI agents manage lightweight structured storage during agentic workflows. The server exposes tools for query execution, schema introspection, and memo-style business insights that synthesize query results into readable summaries. It requires a path to an existing .db file as a startup argument. Install with: npx @modelcontextprotocol/server-sqlite /path/to/your-database.db. Works with Claude Desktop, Cursor, VS Code, and all MCP-compatible clients. For developers who want AI to reason directly over structured data stored locally, the SQLite MCP server is the fastest path from question to answer without leaving your AI chat interface.

Local
🗄️

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.

Local
🔍

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.

Local
🧠

Memory

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

Local

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