Guides9 min read

Best MCP Servers for Cline: Complete Setup Guide 2026

Supercharge Cline, the autonomous VS Code coding agent, with the best MCP servers. Database access, browser automation, GitHub integration, and more — step-by-step setup.

By MyMCPTools Team·

Cline is one of the most powerful autonomous coding agents available for VS Code. Unlike simpler AI assistants, Cline can plan multi-step tasks, run terminal commands, read and write files, and iterate until the job is done. Add MCP servers and it becomes something else entirely — a development partner with direct access to your databases, browsers, APIs, and external services.

This guide covers the best MCP servers for Cline, how to configure them, and the workflows that change your daily development experience.

How Cline Uses MCP Servers

Cline integrates MCP servers through VS Code's MCP configuration. Once connected, Cline can autonomously invoke MCP tools as part of its planning loop — it doesn't just suggest using a tool, it uses it. This means when Cline is debugging a database issue, it can directly query your PostgreSQL schema rather than asking you to copy-paste table definitions.

Cline reads MCP server configurations from ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json on Linux/macOS or the equivalent Windows path.

1. Filesystem MCP Server — Your Codebase, Fully Accessible

The Filesystem server is Cline's foundation. While Cline already has native file access through VS Code's extension API, the Filesystem MCP server extends this to structured operations across any directory Cline is configured to access — including paths outside the current workspace.

Why it matters for Cline: Cline's autonomous planning mode works best when it can read existing code, understand directory structure, and write new files without interrupting you for confirmation at every step. The Filesystem MCP server makes this seamless.

Setup:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/your/project"]
    }
  }
}

2. GitHub MCP Server — Full Repo Control Inside Cline

The GitHub MCP server gives Cline the ability to manage your repositories directly. Create branches, open pull requests, review diffs, and manage issues — all without leaving your Cline conversation.

Power workflows with Cline + GitHub MCP:

  • Ask Cline to "implement this feature, create a branch, and open a PR" — it executes the entire workflow autonomously
  • Have Cline review an existing PR's diff and suggest improvements
  • Let Cline search across all your repos for similar implementations before writing new code

Setup:

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "your-token-here" }
    }
  }
}

3. PostgreSQL MCP Server — Schema-Aware Database Queries

Database work is where Cline + MCP truly shines. The PostgreSQL MCP server lets Cline inspect your schema, run queries, and understand your data model — so when you ask it to "write a query for this report", it actually knows your table structure instead of guessing.

What becomes possible:

  • Ask Cline to write optimized queries based on actual schema introspection
  • Have Cline debug slow queries by examining execution plans
  • Let Cline generate migration scripts that account for existing constraints

4. Playwright MCP Server — Browser Automation in Your Agent Loop

The Playwright MCP server gives Cline the ability to control a real browser. For frontend developers, this means Cline can test its own output: write a component, then navigate to your dev server and verify it renders correctly.

Key use cases:

  • End-to-end testing as part of Cline's development loop
  • Scraping reference data from documentation sites
  • Testing form submissions and API responses through the browser
  • Taking screenshots to visually verify UI changes

5. Git MCP Server — Deep Version Control Context

The Git MCP server gives Cline direct access to your git history, diffs, and branch state. Rather than relying on VS Code's built-in git integration, this server allows Cline to programmatically query commit history and use it as context for understanding why code was written a certain way.

Powerful with Cline's autonomous mode: Tell Cline "figure out when this bug was introduced" and it can bisect through recent commits using git log and diff tools to identify the offending change.

6. Brave Search MCP Server — Real-Time Web Knowledge

Cline's training data has a cutoff. The Brave Search MCP server fills that gap — when Cline needs current documentation, error messages, or API references, it can search the web and pull the result into context without you having to tab-switch.

Especially useful for:

  • Looking up error messages from libraries that have been updated since Cline's training
  • Finding recent Stack Overflow solutions
  • Checking current API documentation versions

7. Docker MCP Server — Container Management in Context

The Docker MCP server lets Cline interact with your running containers and compose stacks. When debugging a containerized application, Cline can check container logs, inspect environment variables, and verify service health — all as part of its diagnostic loop.

8. Redis MCP Server — Cache & Session Debugging

The Redis MCP server gives Cline read access to your Redis instance. Useful for debugging caching issues, inspecting session data, or verifying that cache invalidation logic is working as expected after Cline makes changes to your application.

Recommended Cline MCP Stack

For most developers, this is the right starting stack:

  1. Filesystem — always-on foundation
  2. GitHub — repo operations and PR workflow
  3. PostgreSQL or SQLite — depending on your project
  4. Playwright or Puppeteer — browser testing
  5. Brave Search — web lookup when needed

Add Docker and Redis as your stack complexity grows. Avoid adding every available server at once — each server adds tool options to Cline's context, and having too many can slow down its planning and increase API costs.

Cline vs Other MCP Clients

Cline's autonomous mode makes MCP particularly powerful compared to passive clients like Claude Desktop. Where Claude Desktop presents MCP results for you to read, Cline acts on them — it queries your database, reads the results, and incorporates them into its next action, all without waiting for you to approve each step.

Find more MCP server options in the Cline integration directory or browse by coding category for developer-focused servers.

Recommended Tools

Better Stack

Free Plan

Get alerted when your APIs, browser tests, payment pipelines, or MCP server dependencies go down. Used by 100K+ developers.

Start monitoring free →

1Password

14-day Free Trial

Store and inject API keys, payment credentials, tokens, and file access secrets into your MCP server configs. Trusted by 150K+ developers.

Try 1Password free →

🔧 MCP Servers Mentioned in This Article

📁

Filesystem

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

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
🌍

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
💻

Git

Tools to read, search, and manipulate Git repositories. Full Git operations support.

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
🔧

Docker MCP Server

The Docker MCP server connects your AI assistant directly to your local or remote Docker daemon, exposing container lifecycle management and image orchestration as Model Context Protocol tools. With this integration, developers can prompt Claude, Cursor, or Windsurf to inspect running containers, view real-time logs, build new images from Dockerfiles, start and stop services using Docker Compose, and prune unused system resources through natural language. Rather than switching to a terminal to type complex docker inspect commands, you can simply ask your AI to "find out why the postgres container keeps crashing" or "tail the last 100 lines of the frontend container logs and find the React error". This is a game-changer for DevOps engineers, backend developers, and system administrators who want to streamline container debugging, automate compose cluster orchestration, and troubleshoot networking issues faster. The server interacts securely with the Docker Engine API, meaning it can both read system state and execute commands like port binding or volume inspection. It works cross-platform wherever Docker Desktop or the Docker daemon is running. Docker's official implementation ships as the Docker MCP Gateway (docker/mcp-gateway), a `docker mcp` CLI plugin that acts as a single secure gateway in front of many containerized MCP servers from the Docker MCP Catalog — each downstream server runs in its own isolated container with resource limits and secret injection, so an assistant connects once to the gateway instead of wiring up dozens of individual servers. Start it with `docker mcp gateway run`, then point Claude Desktop, Cursor, or another client at the gateway; `docker mcp server enable <name>` toggles which catalog servers (including the Docker/container-management tools) are exposed. This container-per-server isolation is the key security benefit over running MCP servers directly on the host.

Local
🗄️

Redis MCP Server

The Redis MCP server is an official Anthropic reference implementation that lets AI assistants interact with Redis key-value stores for caching, session management, pub/sub messaging, and real-time data operations. Redis is the most popular in-memory data store, widely used for rate limiting, leaderboards, job queues, and ephemeral session state — and this MCP server brings all of that within reach of natural-language AI prompts. With it, you can ask Claude or Cursor to get and set string/hash/list/set/sorted-set values, inspect TTLs, flush specific keys, publish messages to channels, and scan keyspaces for debugging — all without opening redis-cli. Developers use it during backend debugging sessions, to inspect live cache state, to manage feature flags stored in Redis, and to wire AI agents into event-driven architectures via pub/sub. The server connects to a Redis instance via a connection URL (defaults to redis://localhost:6379). Install with: npx @modelcontextprotocol/server-redis. Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client. It is the reference implementation for Redis + AI integration in the MCP ecosystem.

Local

📚 More from the Blog