# Top 10 MCP Servers Every Developer Should Know About

2026-04-16

https://toolblip.com/blog/top-10-mcp-servers

# Top 10 MCP Servers Every Developer Should Know About

The [Model Context Protocol (MCP)](https://modelcontextprotocol.io) lets AI assistants like Claude Code connect to real-world tools and data sources. Unlike traditional API integrations, MCP provides a standardized way for AI to discover and use tools.

Here's the 10 most practical MCP servers available right now.

## 1. File System - Read, Write, Search

The most fundamental MCP server. Gives AI read/write access to your filesystem with configurable permissions.

**Use it for:** Having Claude Code read your codebase, create files, search for code patterns across your project.

```json
{
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/directory"]
}
```

**Best for:** Projects where you want AI to understand and modify code directly.

---

## 2. Git - Search History, Read Diffs, Create Commits

Git integration lets Claude query repository history, read file contents at any commit, see diffs, and even create commits.

**Use it for:** Understanding when and why code changed, reviewing git history without leaving the AI conversation, automating commit messages.

**Popular servers:**
- GitHub MCP server - full GitHub API access

---

## 3. Database Connectors

Connect Claude to PostgreSQL, MySQL, SQLite, or MongoDB. Run queries, explore schemas, even get AI-assisted query writing.

**Use it for:** Writing SQL with AI help, exploring unfamiliar databases, validating query results.

**Popular:**
- PostgreSQL MCP server
- SQLite MCP server

⚠️ **Security note:** Always use read-only connections for AI database access. Never give AI write access to production databases.

---

## 4. Slack - Send Messages, Read Channels

The Slack MCP server lets Claude read channels and send messages.

**Use it for:** Setting up AI-powered incident alerts, posting deployment notifications, summarizing channel activity.

Check your Slack integration's installation and permission steps before granting workspace access.

---

## 5. Google Workspace - Drive, Docs, Sheets

Connect Claude to your Google Workspace for reading documents, searching Drive, and updating Sheets.

**Use it for:** Summarizing meeting notes from Google Docs, reading data from Google Sheets, automating document workflows.

Requires OAuth setup. Worth it for teams heavily invested in Google Workspace.

---

## 6. Figma MCP Server - Design Context

The [Figma MCP server](https://developers.figma.com/docs/figma-mcp-server/) gives AI coding tools access to design context from Figma files, including frames, components, variables, and layout data.

**Use it for:** Building an interface from a Figma design while checking its layout and components in your coding tool.

Figma documents both remote and desktop server setup. Follow its [official setup guide](https://developers.figma.com/docs/figma-mcp-server/) for your client.

---

## 7. Brave Search - Real-Time Web Search

Give Claude Code the ability to search the web in real-time.

**Use it for:** Researching error messages, looking up documentation, fact-checking AI-generated code.

```json
{
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-brave-search"],
  "env": {
    "BRAVE_API_KEY": "your-api-key"
  }
}
```

---

## 8. Fetch / HTTP - Web Content

The Fetch MCP server lets Claude retrieve and analyze web pages, APIs, and any HTTP content.

**Use it for:** Pulling documentation, reading API responses, analyzing web content.

Works without an API key for most public endpoints.

---

## 9. Sequential Thinking - Better AI Reasoning

Not a tool server but a thinking enhancement. Adds structured, sequential thinking to Claude's problem-solving process.

**Use it for:** Complex debugging, architectural decisions, multi-step problems.

Installs as a prompt server rather than a tool server.

---

## 10. Memory - Persistent Context Across Sessions

The Memory MCP server gives Claude persistent memory across sessions. It stores facts, preferences, and context that persist between conversations.

**Use it for:** Maintaining context about a project across sessions, remembering user preferences, building long-term AI assistants.

---

## Quick Start: Add MCP to Claude Code

```bash
# Add a local server from your terminal:
claude mcp add --transport stdio filesystem -- npx -y @modelcontextprotocol/server-filesystem ~/Projects

# Then use it naturally in conversation:
# "Read all the TypeScript files in src/ and explain the architecture"
```

## Which Should You Start With?

| If you want to... | Start with... |
|---|---|
| AI that reads your code | File System + Git |
| AI-assisted database work | Database connector (read-only!) |
| Web search from AI | Brave Search |
| Design context in AI | [Figma MCP server](https://developers.figma.com/docs/figma-mcp-server/) |
| Persistent AI memory | Memory server |

MCP is changing how we interact with AI assistants. The ability to give Claude Code real tools - not just words - is a fundamental shift in what's possible. Start with one server, see how it changes your workflow.

👉 **[Browse Toolblip developer tools →](/tools)**