The Essential Servers
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Not every MCP server is worth installing. Some solve genuine problems. Some are impressive in demos and awkward in daily use. Some were put on GitHub once and haven’t been touched since. This module helps you tell the difference.
I’ll cover the categories that actually matter, then give you a framework for evaluating anything you find.
The Categories That Matter
Calendar access is probably the highest-value integration for most people. When Claude can read your calendar, it can help you schedule, summarise your week, flag conflicts, and draft invites with accurate details. Without it, you’re constantly copying and pasting dates and times.
The options depend on what you use. For macOS users, mcp-fantastical (which I built) connects Claude to Fantastical, giving it read access to your calendar events without needing to deal with Google’s OAuth flow. If you’re on Google Calendar directly, Anthropic’s reference server @modelcontextprotocol/server-google-calendar handles the OAuth setup — it’s more involved to configure but works cross-platform.
Web search changes how Claude handles questions about current events or unfamiliar topics. Without it, Claude works from its training data. With a search server, it can check. The Brave Search MCP server (@modelcontextprotocol/server-brave-search) is the most practical option — it uses Brave’s API which has a free tier and doesn’t require a Google account.
File system access you’ve already set up from Module 2. Once you have it, Claude can read your local documents, search codebases, and write files directly rather than producing output you then have to copy somewhere.
GitHub is essential if you work with code. The GitHub MCP server gives Claude access to issues, pull requests, repository structure, and commit history. You ask “what PRs are open in this repo?” and Claude checks, rather than you switching to the browser, copying the list, and pasting it in.
Database access matters if you have data you regularly query. The SQLite server lets Claude run queries against local databases. For production databases you’d need more care about what access to grant — but for personal data stores, analytics databases, or anything you’ve built for your own use, direct query access is very useful.
Memory/knowledge bases is an emerging category. mcp-kit (another server I built) handles storing and retrieving structured information — the kind of thing you’d otherwise maintain in a notes app or paste into each session. A tool like this makes Claude’s context persistent without needing to stuff everything into your CLAUDE.md.
The Ones That Sound Useful But Aren’t
Slack and Teams servers get installed, used a few times, and removed. Reading Slack through Claude adds a step without saving one — you still have to know what you’re looking for. The exceptions are specific, narrow use cases: “summarise this channel’s last week” or “find any messages mentioning project X.” For those tasks they’re useful. For general browsing, they’re not.
Image generation servers are fun once. Then you realise you can just use the image tools directly. The indirection of going through Claude to call an image API doesn’t add much.
Notification servers create more noise than signal. Claude deciding to send you a notification is rarely better than you seeing the thing directly.
How to Evaluate a Server You’ve Found
Before installing anything, run through these questions:
Who built it and when? Official Anthropic reference servers are a safe bet. Servers from companies with reputations at stake (Notion, Linear, GitHub) are generally maintained. A random GitHub repo from eight months ago with no recent commits is a gamble.
What permissions does it need? Read-only access to a data source is much lower risk than write access. Full account access to your email is very different from read access to a specific folder. Understand what you’re granting.
Does it follow the env variable pattern for credentials? If the setup instructions tell you to put an API key in the args array, that’s a red flag. Credentials belong in the env block of your settings.json, not in the args where they can show up in process listings.
Is the tool set sensible? A calendar server with fifty tools is suspicious. Either it’s trying to do too much or the developer didn’t think carefully about what should be exposed. A focused server with five to ten well-named tools is more trustworthy.
Does it work with a simple test? Install it, ask Claude what tools it has, run one simple operation. If the first call fails or returns gibberish, don’t invest time tuning it — find a better option.
A Note on Scope Creep
There’s a temptation to install everything that sounds useful. Resist it. Each server you add increases the number of tools Claude has to reason about when deciding how to respond. Too many tools makes Claude slower and increases the chance of it choosing the wrong one.
Start with three or four servers that address specific things you do every day. Run with that stack for a few weeks. Add more only when you notice a gap. The goal is a stack that extends Claude’s reach without cluttering its decision-making.
Module 4 gets into building — if you’ve got a system that needs an MCP server and nothing in the ecosystem covers it, here’s how to make one.
Check Your Understanding
Answer all questions correctly to complete this module.
1. Why not install too many MCP servers?
2. What kind of MCP servers 'sound useful but aren't' for most people?
3. What is the recommended approach to building your MCP stack?
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