Updated Aug 6, 2026: The MCP registry now indexes nearly 20,000 servers. This guide covers the Model Context Protocol, the official connectors bundled with Claude Cowork plugins, and how to find and install community servers from our MCP directory.
What Are MCP Servers?
MCP (Model Context Protocol) is an open standard that lets AI assistants connect to external tools and data sources. An MCP server is a small program that exposes one or more tools to the AI — think of it as a universal adapter between Claude and an app like Slack, Notion, GitHub, or a database.
Before MCP, every integration required custom, one-off wiring. With MCP, any MCP-compatible client can talk to any MCP server using the same protocol. That's why it became the de facto standard for AI tool integration — and why Claude Cowork's plugin system is built around it.
In plain terms: MCP servers are how you give Claude Cowork new skills — the ability to read your calendar, query your database, search your company wiki, or control a browser — without Anthropic building each integration themselves.
Why MCP Matters for Claude Cowork
Claude Cowork ships with a set of built-in integrations (Google Drive, Gmail, GitHub and more) that cover the most common knowledge-work tasks. MCP servers extend that in three ways:
- Long-tail apps. No vendor can build connectors for every tool. MCP lets the community fill the gaps — from CRM systems to niche design tools.
- Custom internal tools. Teams can expose their own APIs, databases, and internal dashboards as MCP servers in an afternoon.
- Faster feature iteration. When a new service launches, an MCP server usually appears within days, not months.
If you already understand what Claude Cowork is, think of MCP as the "plumbing" that turns it from a standalone desktop assistant into the center of your personal automation stack.
How MCP Works Inside Claude Cowork
MCP follows a simple client–server model:
- Host (the MCP client): Claude Cowork (or Claude Desktop, Claude Code, or any MCP-compatible app).
- Server: A process that knows how to talk to one app or service. It exposes tools (actions the AI can call, e.g.
create_todo), resources (data it can read, e.g. your task list), and prompts (reusable instruction templates). - Transport: Most servers use stdio (launched as a local subprocess) or SSE/HTTP (remote servers).
When you give Claude Cowork a task, it decides which connected MCP tools to call — the same way it decides to use its built-in file access or Gmail integration. From the user's perspective there's no difference: you just get better results because Claude has more context and more hands.
This is the same architecture behind the official Claude Cowork plugins, which bundle skills, slash commands, and MCP connectors into domain packages — see the Plugins Complete Guide for a deep dive.
Official MCP Connectors & Integrations
Anthropic's official connectors are the safest place to start — they're maintained by the vendor, documented, and receive regular updates.
Built into Claude Cowork (via Settings → Integrations):
- Google Drive — read, create, and organize files
- Gmail — draft, send, and manage email
- GitHub — work with repositories, issues, and pull requests
- Excel / PowerPoint / local file system — already core to Cowork
Bundled with official plugins (installed from the plugins page): the Productivity plugin alone connects to Slack, Notion, Asana, Linear, Jira, Monday, ClickUp, and Microsoft 365, and the Enterprise Search plugin adds Guru and more. If your tool is in that list, you don't need a community MCP server — the plugin already handles it.
Claude Code's MCP ecosystem is another source of compatible servers: since Cowork and Claude Code share underlying technology, most MCP servers built for Claude Code work with Cowork too.
Best Community MCP Servers in 2026
Our MCP directory tracks the official registry, which now indexes nearly 20,000 servers. Here's how to navigate it — plus the categories that keep proving their value:
- File system & documents — the most downloaded servers for a reason: they give Claude structured access to folders, PDFs, spreadsheets, and markdown vaults.
- Web browsing & search — fetch URLs, read pages, and search the web with proper rate-limit handling. Great for research workflows.
- Databases — Postgres, MySQL, and SQLite servers let Claude query your data with safe, read-only defaults. The single highest-leverage category for teams.
- GitHub & Git — beyond the built-in integration, community servers add code review, issue triage, and CI status.
- Design & creative tools — Figma, Draw.io, and image-generation servers turn Cowork into a design assistant.
- Communication & project management — Slack, Teams, and Notion servers with more granular controls than the official connectors.
How to pick a server: check GitHub stars (a popularity signal, not a safety guarantee), read the repository before installing, prefer servers with active maintenance, and avoid anything requesting broad permissions you don't need. Our directory sorts by stars and marks curated entries so you can start with the crowd favorites.
How to Install an MCP Server in Claude Cowork
Most MCP servers install the same way. The exact steps depend on your setup, so this is the general flow:
- Find the server — browse the MCP directory or the official registry. Copy its package name (npm, pip, or uv).
- Install it locally — e.g.
npm install -g <server-package>oruvx <server-package>. Remote servers need an endpoint URL instead. - Add it to Claude Cowork — open Settings → Integrations → MCP Servers, click Add, and paste the launch command or URL.
- Grant permissions — Cowork will ask which folders or resources the server may access. Start minimal.
- Test with a simple task — e.g. "List my tasks in [app]" — then move to real workflows.
Tip: If the server was built for Claude Code, its config block (
mcpServersentry) ports over to Cowork almost verbatim — same tools, same commands.
Not sure where to start? The Getting Started tutorial walks through your first workflow, and the integrations guide covers the built-in connections in detail.
Practical Use Cases
Once you have a few servers connected, the workflows that open up are substantial:
- Research & synthesis — Cowork browses sources, pulls PDFs from your Drive, and writes a cited summary to a doc. See the research workflows for the pattern.
- Data analysis — point a Postgres server at your analytics DB and ask for the week's numbers in a formatted report, formulas included.
- Meeting & task automation — read calendar and Notion, draft agendas, and file action items after every meeting.
- Design handoffs — Cowork reads a Figma file, generates the export, and drops it into your repo.
Each of these turns a multi-hour manual process into a single prompt — which is exactly where the Max plan's higher usage limits start to pay for themselves.
Security Considerations
MCP servers are powerful because they get real access to real systems — which means you should treat them like any third-party dependency:
- Audit before you install: read the source, check the maintainer, look at recent commits.
- Grant least privilege: only allow the folders and resources a server actually needs.
- Prefer official connectors for popular services when they exist.
- Watch remote servers: an HTTP/SSE server sends your data to its host — only use ones you trust.
- Keep them updated: MCP servers, like any software, get security fixes.
Our security & privacy guide covers sandboxing and permission best practices in more depth.
FAQ
Do I need Max to use MCP servers? No — MCP server support isn't a plan-gated feature. Any Pro or Max subscriber can connect servers; the plan mainly determines your usage limits.
Are MCP servers safe? Community servers vary. Stick to well-known ones, audit before installing, and grant minimal permissions. Anthropic's built-in integrations and official plugin connectors are the safest options.
Can I build my own MCP server? Yes — the protocol is open and the SDKs are mature. A simple server that exposes one internal API takes a few hours to build, and it's one of the best ways to make Claude Cowork work with your specific stack.
What's the difference between an MCP server and a Claude Cowork plugin? A plugin is a packaged bundle that can include skills, slash commands, and MCP connectors, plus configuration. An MCP server is the connector itself. Plugins are the easiest way to get a full domain setup; standalone MCP servers are the building blocks.
Start Exploring
The fastest way to see what's out there: open the MCP directory, filter by stars, and install one server this week. Combine it with the official plugins and the built-in integrations, and Claude Cowork goes from a desktop assistant to the control center of your workflow.
Still new to Cowork? Start with What is Claude Cowork?, then follow the tutorial to run your first task.