10 Best MCP Servers for Developers in 2026

The Model Context Protocol has quietly become one of the most important pieces of developer infrastructure in 2026. Every major AI coding tool — Claude Code, Cursor, Windsurf, Cline — now supports MCP servers, and the ecosystem has exploded.

The problem is there are hundreds of servers and most lists are either outdated or promotional garbage. This list is different: it covers servers that developers are actually using, explains what each one does well, and tells you who it's for.

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1. Filesystem (Official Anthropic)

What it does: Gives your AI agent direct read/write access to your local filesystem — creating files, reading directories, moving things around.

Who it's for: Everyone. This is the first server most people install.

Install:

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

TIP

Be specific with the path argument. Giving your agent access to / is an accident waiting to happen.

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2. GitHub (Official)

What it does: Full GitHub API access — create issues, open PRs, search code, manage repositories, comment on reviews.

Who it's for: Any developer whose workflow touches GitHub daily. Especially useful for teams.

Install:

npx @modelcontextprotocol/server-github

Requires a GITHUB_PERSONAL_ACCESS_TOKEN environment variable.

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3. Planu — Spec Driven Development

What it does: A full spec management system for AI agents. Planu gives your agent 19 focused SDD tools for creating specs, tracking acceptance criteria, validating implementation, detecting drift between specs and code, and managing the full lifecycle.

Who it's for: Developers who build complex features with AI agents and want to keep them on track across long sessions. Especially valuable when working with multiple agents in parallel or on codebases that evolve quickly.

Install:

planu install --global

Or manually in Claude Desktop config:

{
  "mcpServers": {
    "planu": {
      "command": "npx",
      "args": ["--prefer-online", "-y", "@planu/cli@latest"]
    }
  }
}

The difference from other spec tools: Planu is language-agnostic and designed to work with any AI agent that supports MCP, not just one editor. Read the Getting Started guide for a full walkthrough.

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4. Slack

What it does: Read and send Slack messages, list channels, search conversations. Useful for agents that need to report progress or fetch context from team discussions.

Who it's for: Teams using Slack who want their AI agents to integrate with existing communication workflows.

Install:

npx @modelcontextprotocol/server-slack

Requires a Slack bot token with appropriate scopes.

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5. Postgres

What it does: Direct PostgreSQL access — run queries, inspect schemas, explore table structures.

Who it's for: Backend developers and data engineers who want their agent to actually understand the database schema, not just guess at it.

Install:

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
    }
  }
}

WARNING

Always use a read-only database user for AI agents unless you have a very specific reason not to. Agents can and will run DELETE statements if they think it will help.

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6. Brave Search

What it does: Real-time web search via the Brave Search API. Gives your agent access to current documentation, GitHub issues, Stack Overflow, and anything else on the web.

Who it's for: Anyone who has ever watched an AI agent confidently cite a library function that was deprecated two years ago.

Install:

npx @modelcontextprotocol/server-brave-search

Requires a BRAVE_API_KEY. The free tier covers 2,000 queries/month, which is plenty for most workflows.

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7. Playwright / Puppeteer

What it does: Browser automation. Your agent can navigate websites, fill forms, take screenshots, scrape content, and run UI tests.

Who it's for: QA engineers, frontend developers, and anyone doing web scraping or E2E testing.

Playwright install:

npx @modelcontextprotocol/server-playwright

Puppeteer install:

npx @modelcontextprotocol/server-puppeteer

The Playwright server has better cross-browser support. The Puppeteer server is lighter weight and easier to configure.

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8. Supabase

What it does: Full Supabase project management — query your database, manage tables, deploy edge functions, check logs, handle auth settings.

Who it's for: Developers building on Supabase who want their AI agent to have real context about their backend infrastructure.

Install:

npx @supabase/mcp-server-supabase@latest

Requires a Supabase personal access token. One of the better-maintained community servers.

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9. Memory (Official Anthropic)

What it does: Persistent knowledge graph that your agent can read and write. Entities, relationships, and observations that survive across sessions.

Who it's for: Developers who want their AI agent to remember things — preferences, architectural decisions, recurring patterns — across multiple conversations.

Install:

npx @modelcontextprotocol/server-memory

INFO

The memory server stores data locally by default. Back up the knowledge graph file (~/.mcp-memory/memory.json) if you're relying on it for important context.

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10. Sequential Thinking

What it does: Encourages agents to work through complex problems step by step before jumping to solutions. Not a tool for accessing external data — it's a reasoning scaffold.

Who it's for: Situations where you notice your agent making hasty decisions or skipping important considerations. Particularly useful for architecture decisions and debugging.

Install:

npx @modelcontextprotocol/server-sequential-thinking

This one is subtle. You won't always notice it working, but for hard problems the quality of the output is noticeably better.

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How to Choose

Need	Server
File access	Filesystem
GitHub workflows	GitHub
Spec management	Planu
Team communication	Slack
Database queries	Postgres
Web research	Brave Search
Browser automation	Playwright
Supabase backend	Supabase
Cross-session memory	Memory
Better reasoning	Sequential Thinking

Most developers end up running 3-5 servers simultaneously. The overhead is low — each server is a separate process that your AI tool manages automatically.

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Learn More

• What is an MCP Server? — if you're new to MCP, start here
• How to Set Up MCP Servers in Claude Code and Cursor — practical setup tutorial
• Getting Started with Planu — set up spec management in 5 minutes