Top 10 Essential MCP Servers Every Developer Should Know in 2025
After evaluating over 177 Model Context Protocol servers and implementing dozens in production environments, I've identified the 10 most valuable MCP servers that every developer should have in their toolkit.
Whether you're building AI-powered applications, automating workflows, or enhancing your development environment, these MCP servers will dramatically expand what's possible with Claude and other AI assistants.
How We Selected These Servers
Our selection criteria focused on:
✅ Reliability: Stable, well-maintained, and actively developed
✅ Usefulness: Solves real problems developers face daily
✅ Documentation: Clear setup instructions and examples
✅ Community Adoption: Proven track record with active users
✅ Integration Quality: Seamless connection with Claude Desktop and other MCP clients
✅ Security: Safe to use with proper configuration
Each server below has been tested extensively and is production-ready.
1. GitHub MCP Server
Best for: Repository management, code review, issue tracking
What It Does
The GitHub MCP Server gives Claude direct access to your GitHub repositories, enabling it to read code, create issues, review pull requests, and manage repository settings—all through natural language.
Key Features
- Repository browsing: Navigate and read files across all your repos
- Issue management: Create, update, and search issues
- Pull request operations: Review PRs, add comments, request changes
- Code search: Find code patterns across repositories
- Commit history: Analyze git history and changes
- Branch operations: Create and manage branches
Real-World Use Cases
Code Review Assistant:
"Review the last 3 pull requests in my project-name repository and
summarize the changes and potential issues."
Automated Issue Creation:
"Create an issue in my repo for the bug we just discussed,
including reproduction steps and suggested fix."
Cross-Repo Analysis:
"Search all my repositories for uses of the deprecated API function
and list which repos need updating."
Setup Difficulty
⭐⭐⭐ Moderate (requires GitHub token)
Installation
npm install -g @modelcontextprotocol/server-github
Configuration:
{
"mcpServers": {
"github": {
"command": "mcp-server-github",
"env": {
"GITHUB_TOKEN": "your-personal-access-token"
}
}
}
}
Why It's Essential
GitHub is central to modern development workflows. This server eliminates context-switching between your IDE, browser, and Claude, making code review and repository management significantly faster.
2. Filesystem MCP Server
Best for: Local file operations, project analysis, batch processing
What It Does
Gives Claude read and write access to specified directories on your local machine, enabling file manipulation, code analysis, and document processing without leaving the conversation.
Key Features
- File reading: Access any file in configured directories
- File writing: Create and modify files
- Directory traversal: List and search directory contents
- Pattern matching: Find files by name or content
- Batch operations: Process multiple files at once
- Safe sandboxing: Restrict access to specific directories
Real-World Use Cases
Code Refactoring:
"Update all import statements in my src directory to use the new
module structure."
Documentation Generation:
"Read all TypeScript files in my project and generate API
documentation in Markdown format."
Log Analysis:
"Analyze the error logs from the last week and summarize the
most common issues."
Setup Difficulty
⭐ Easy (no external dependencies)
Installation
npm install -g @modelcontextprotocol/server-filesystem
Configuration:
{
"mcpServers": {
"filesystem": {
"command": "mcp-server-filesystem",
"args": ["/path/to/your/directory"]
}
}
}
Why It's Essential
This is often the first MCP server developers install because it's simple to set up and immediately useful. It's the foundation for many AI-assisted development workflows.
Explore Filesystem MCP Server →
3. PostgreSQL MCP Server
Best for: Database queries, schema analysis, data exploration
What It Does
Connects Claude to your PostgreSQL databases, enabling natural language queries, schema exploration, and data analysis without writing SQL manually.
Key Features
- Natural language queries: Ask questions, get SQL results
- Schema inspection: Explore tables, columns, and relationships
- Query optimization: Get suggestions for improving performance
- Data analysis: Statistical analysis and pattern detection
- Migration assistance: Help with schema changes
- Safe read-only mode: Prevent accidental modifications
Real-World Use Cases
Data Exploration:
"Show me the top 10 customers by revenue in the last quarter."
Schema Understanding:
"Explain the relationship between the users, orders, and
products tables."
Query Optimization:
"This query is slow: [paste query]. How can I optimize it?"
Setup Difficulty
⭐⭐ Moderate (requires database credentials)
Installation
npm install -g @modelcontextprotocol/server-postgres
Configuration:
{
"mcpServers": {
"postgres": {
"command": "mcp-server-postgres",
"env": {
"DATABASE_URL": "postgresql://user:password@localhost:5432/dbname"
}
}
}
}
Why It's Essential
Database work is a daily task for most developers. This server makes data exploration and analysis conversational, dramatically reducing the time spent writing and debugging SQL queries.
Explore PostgreSQL MCP Server →
4. Slack MCP Server
Best for: Team communication, notifications, workflow automation
What It Does
Integrates Claude with Slack, allowing you to read messages, send notifications, search conversations, and automate team communication workflows.
Key Features
- Message reading: Access channel history and DMs
- Message sending: Post to channels and users
- Channel management: Create and configure channels
- Search functionality: Find messages and files
- User lookup: Get team member information
- Reaction handling: Add and read emoji reactions
Real-World Use Cases
Status Updates:
"Post a summary of today's completed tasks to the #team-updates
channel."
Information Retrieval:
"Search our #engineering channel for discussions about the
authentication refactor from last month."
Automated Notifications:
"Send a message to @john letting him know the deployment is
complete."
Setup Difficulty
⭐⭐⭐ Moderate (requires Slack app creation)
Installation
npm install -g @modelcontextprotocol/server-slack
Configuration:
{
"mcpServers": {
"slack": {
"command": "mcp-server-slack",
"env": {
"SLACK_BOT_TOKEN": "xoxb-your-token",
"SLACK_TEAM_ID": "your-team-id"
}
}
}
}
Why It's Essential
Slack is where teams coordinate. This server eliminates the need to switch between Claude and Slack, making communication and information retrieval seamless.
5. Google Drive MCP Server
Best for: Document access, collaboration, cloud file management
What It Does
Connects Claude to your Google Drive, enabling document reading, file search, and content analysis across all your Google Workspace files.
Key Features
- Document reading: Access Docs, Sheets, and Slides
- File search: Find files by name, content, or metadata
- Folder navigation: Browse your Drive structure
- Sharing management: Check and modify permissions
- Content extraction: Pull data from spreadsheets
- Format conversion: Export files in different formats
Real-World Use Cases
Document Summarization:
"Summarize the key points from the Q4 Planning document in my
Drive."
Data Analysis:
"Analyze the sales data in the 'Revenue 2025' spreadsheet and
identify trends."
Content Search:
"Find all documents in my Drive that mention the Phoenix project."
Setup Difficulty
⭐⭐⭐⭐ Advanced (requires Google Cloud setup)
Installation
npm install -g @modelcontextprotocol/server-gdrive
Configuration:
{
"mcpServers": {
"gdrive": {
"command": "mcp-server-gdrive",
"env": {
"GOOGLE_CLIENT_ID": "your-client-id",
"GOOGLE_CLIENT_SECRET": "your-client-secret",
"GOOGLE_REFRESH_TOKEN": "your-refresh-token"
}
}
}
}
Why It's Essential
Many teams store critical documents in Google Drive. This server makes that knowledge instantly accessible to Claude, enabling better-informed AI assistance.
Explore Google Drive MCP Server →
6. Puppeteer MCP Server
Best for: Web scraping, browser automation, testing
What It Does
Gives Claude control of a headless Chrome browser, enabling web scraping, automated testing, and interaction with web applications.
Key Features
- Page navigation: Visit and interact with websites
- Content extraction: Scrape data from web pages
- Form filling: Automate form submissions
- Screenshot capture: Take page screenshots
- PDF generation: Convert pages to PDF
- JavaScript execution: Run custom scripts on pages
Real-World Use Cases
Competitive Research:
"Visit competitor-site.com and extract their pricing information."
Automated Testing:
"Test the login flow on staging.myapp.com and report any issues."
Data Collection:
"Scrape the top 10 articles from news-site.com and summarize them."
Setup Difficulty
⭐⭐ Moderate (requires Chrome/Chromium)
Installation
npm install -g @modelcontextprotocol/server-puppeteer
Configuration:
{
"mcpServers": {
"puppeteer": {
"command": "mcp-server-puppeteer",
"args": []
}
}
}
Why It's Essential
Web automation is a common development task. This server makes browser automation conversational, eliminating the need to write complex Puppeteer scripts manually.
Explore Puppeteer MCP Server →
7. Git MCP Server
Best for: Version control operations, commit analysis, repository management
What It Does
Provides Claude with git command capabilities, enabling repository operations, commit history analysis, and branch management through natural language.
Key Features
- Commit operations: Stage, commit, and push changes
- Branch management: Create, switch, and merge branches
- History analysis: Review commit logs and diffs
- Status checking: See working directory state
- Conflict resolution: Get help with merge conflicts
- Repository statistics: Analyze contribution patterns
Real-World Use Cases
Commit History Analysis:
"Show me all commits related to authentication in the last month."
Branch Management:
"Create a new feature branch called 'add-dark-mode' based on main."
Code Archaeology:
"When was the payment processing module last modified and by whom?"
Setup Difficulty
⭐ Easy (git must be installed)
Installation
npm install -g @modelcontextprotocol/server-git
Configuration:
{
"mcpServers": {
"git": {
"command": "mcp-server-git",
"args": ["/path/to/repository"]
}
}
}
Why It's Essential
Git is fundamental to modern development. This server makes version control operations more intuitive and helps developers understand repository history better.
8. SQLite MCP Server
Best for: Local databases, embedded data, rapid prototyping
What It Does
Connects Claude to SQLite databases, perfect for local development, testing, and applications that use embedded databases.
Key Features
- Query execution: Run SQL queries conversationally
- Schema management: Create and modify tables
- Data import/export: Load and extract data
- Database analysis: Understand data patterns
- Migration support: Help with schema changes
- Performance tuning: Optimize queries and indexes
Real-World Use Cases
Local Development:
"Query my local SQLite database and show me all users created
this week."
Data Migration:
"Help me migrate data from the old_users table to the new users
table with the updated schema."
Testing:
"Create a test database with sample data for the e-commerce
application."
Setup Difficulty
⭐ Easy (SQLite is lightweight)
Installation
npm install -g @modelcontextprotocol/server-sqlite
Configuration:
{
"mcpServers": {
"sqlite": {
"command": "mcp-server-sqlite",
"args": ["/path/to/database.db"]
}
}
}
Why It's Essential
SQLite is everywhere—mobile apps, desktop applications, and local development. This server makes working with embedded databases much more efficient.
9. AWS MCP Server
Best for: Cloud infrastructure management, AWS operations
What It Does
Provides Claude with access to AWS services, enabling infrastructure management, resource monitoring, and cloud operations through natural language.
Key Features
- EC2 management: List, start, stop instances
- S3 operations: Bucket and object management
- Lambda functions: Deploy and invoke functions
- CloudWatch logs: Query and analyze logs
- IAM operations: Manage users and permissions
- Cost analysis: Review AWS spending
Real-World Use Cases
Infrastructure Monitoring:
"Show me all running EC2 instances in us-east-1 and their costs."
Log Analysis:
"Check CloudWatch logs for errors in the api-service Lambda
function from the last hour."
Resource Management:
"List all S3 buckets and identify any that are publicly accessible."
Setup Difficulty
⭐⭐⭐⭐ Advanced (requires AWS credentials and permissions)
Installation
npm install -g @modelcontextprotocol/server-aws
Configuration:
{
"mcpServers": {
"aws": {
"command": "mcp-server-aws",
"env": {
"AWS_ACCESS_KEY_ID": "your-access-key",
"AWS_SECRET_ACCESS_KEY": "your-secret-key",
"AWS_REGION": "us-east-1"
}
}
}
}
Why It's Essential
AWS powers much of the modern web. This server makes cloud infrastructure management more accessible and helps developers understand their AWS resources better.
10. Memory MCP Server
Best for: Persistent context, knowledge retention, personalization
What It Does
Gives Claude long-term memory capabilities, allowing it to remember information across conversations and provide personalized assistance based on past interactions.
Key Features
- Fact storage: Save important information
- Context retrieval: Recall relevant past conversations
- Preference learning: Remember your coding style and preferences
- Project context: Maintain project-specific knowledge
- Search functionality: Find stored information
- Automatic summarization: Distill key points from conversations
Real-World Use Cases
Project Context:
"Remember that in this project, we use Jest for testing and
Prettier with 2-space indentation."
Preference Learning:
"I prefer TypeScript over JavaScript and functional programming
patterns. Remember this for future suggestions."
Knowledge Retrieval:
"What did we decide about the database schema for the user
authentication system?"
Setup Difficulty
⭐⭐ Moderate (requires storage configuration)
Installation
npm install -g @modelcontextprotocol/server-memory
Configuration:
{
"mcpServers": {
"memory": {
"command": "mcp-server-memory",
"args": ["--storage-path", "/path/to/memory/storage"]
}
}
}
Why It's Essential
Memory transforms Claude from a stateless assistant into a knowledgeable partner that understands your projects, preferences, and context over time.
Comparison Table
Server | Difficulty | Use Case | Best For |
---|---|---|---|
GitHub | ⭐⭐⭐ | Code management | Teams using GitHub |
Filesystem | ⭐ | Local files | All developers |
PostgreSQL | ⭐⭐ | Database work | Backend developers |
Slack | ⭐⭐⭐ | Team communication | Collaborative teams |
Google Drive | ⭐⭐⭐⭐ | Document access | Google Workspace users |
Puppeteer | ⭐⭐ | Web automation | QA and data collection |
Git | ⭐ | Version control | All developers |
SQLite | ⭐ | Local databases | Mobile/desktop developers |
AWS | ⭐⭐⭐⭐ | Cloud infrastructure | DevOps teams |
Memory | ⭐⭐ | Context retention | Long-term projects |
How to Choose MCP Servers for Your Use Case
For Solo Developers
Start with:
- Filesystem - Essential for local development
- Git - Version control operations
- Memory - Build context over time
For Backend Teams
Prioritize:
- PostgreSQL/SQLite - Database access
- GitHub - Code collaboration
- AWS - Infrastructure management
- Slack - Team communication
For Frontend Teams
Focus on:
- Filesystem - Component development
- Puppeteer - Testing and automation
- GitHub - Code review
- Google Drive - Design documentation
For DevOps Teams
Essential:
- AWS - Cloud infrastructure
- Git - Deployment automation
- Slack - Incident communication
- GitHub - CI/CD integration
For Data Teams
Must-have:
- PostgreSQL - Data analysis
- SQLite - Local data work
- Google Drive - Report access
- Puppeteer - Data collection
Getting Started
Step 1: Start Small
Don't install all 10 at once. Begin with 1-2 servers that address your immediate needs.
Step 2: Test Thoroughly
Verify each server works correctly before adding another. Use our setup guide for help.
Step 3: Build Workflows
Once comfortable, combine multiple servers to create powerful workflows. For example:
- Use Git + GitHub + Filesystem for complete code management
- Combine PostgreSQL + Slack for database alerts
- Use Puppeteer + Memory for automated research
Step 4: Expand Gradually
Add more servers as you identify new use cases. Browse our complete directory for 177+ options.
Performance Considerations
Resource Usage
Each MCP server adds minimal overhead:
- Memory: ~50-200MB per server
- CPU: Negligible when idle
- Startup: 1-3 seconds per server
Optimization Tips
- Only enable what you need: Disable unused servers
- Use specific directories: Don't give filesystem access to your entire drive
- Set appropriate timeouts: Prevent hanging operations
- Monitor performance: Check Claude Desktop's resource usage
Security Best Practices
General Guidelines
- Principle of least privilege: Only grant necessary permissions
- Use read-only modes: When possible, restrict write access
- Secure credentials: Store API keys in environment variables
- Regular updates: Keep servers updated for security patches
- Audit access: Review what data each server can access
Credential Management
Never hardcode credentials in configuration files:
❌ Bad:
{
"env": {
"API_KEY": "sk-1234567890abcdef"
}
}
✅ Good:
{
"env": {
"API_KEY": "${GITHUB_TOKEN}"
}
}
Then set environment variables in your shell profile.
Troubleshooting Common Issues
Server Won't Start
- Verify installation:
npm list -g | grep mcp
- Check configuration syntax
- Review Claude Desktop logs
- Test server independently
Slow Performance
- Reduce number of active servers
- Limit filesystem scope
- Use more specific queries
- Check network connectivity for cloud services
Authentication Failures
- Verify credentials are current
- Check token permissions
- Ensure environment variables are set
- Review service-specific documentation
Advanced Combinations
The Complete Developer Stack
{
"mcpServers": {
"filesystem": { "command": "mcp-server-filesystem", "args": ["~/projects"] },
"git": { "command": "mcp-server-git", "args": ["~/projects"] },
"github": { "command": "mcp-server-github", "env": { "GITHUB_TOKEN": "${GITHUB_TOKEN}" } },
"memory": { "command": "mcp-server-memory", "args": ["--storage-path", "~/.mcp-memory"] }
}
}
The Data Analyst Stack
{
"mcpServers": {
"postgres": { "command": "mcp-server-postgres", "env": { "DATABASE_URL": "${DB_URL}" } },
"sqlite": { "command": "mcp-server-sqlite", "args": ["~/data/analytics.db"] },
"gdrive": { "command": "mcp-server-gdrive", "env": { "GOOGLE_CLIENT_ID": "${GOOGLE_ID}" } }
}
}
The DevOps Stack
{
"mcpServers": {
"aws": { "command": "mcp-server-aws", "env": { "AWS_ACCESS_KEY_ID": "${AWS_KEY}" } },
"github": { "command": "mcp-server-github", "env": { "GITHUB_TOKEN": "${GITHUB_TOKEN}" } },
"slack": { "command": "mcp-server-slack", "env": { "SLACK_BOT_TOKEN": "${SLACK_TOKEN}" } }
}
}
What's Next?
Explore More Servers
These 10 are just the beginning. Our directory features 177+ MCP servers for:
- Databases: MySQL, MongoDB, Redis, Elasticsearch
- Cloud Providers: Azure, Google Cloud, DigitalOcean
- Communication: Discord, Teams, Email
- Development: Docker, Kubernetes, Jenkins
- Productivity: Notion, Trello, Jira
Build Custom Servers
Have a unique use case? Learn to build your own MCP server with our development guides.
Join the Community
Share your MCP setups, discover new workflows, and help improve the ecosystem.
Conclusion
These 10 essential MCP servers represent the foundation of a powerful AI-assisted development environment. Start with the servers that match your immediate needs, then expand as you discover new use cases.
Remember: The goal isn't to install all 10 at once, but to thoughtfully integrate the servers that genuinely improve your workflow.
Which server will you try first? Browse our complete directory to explore all available options and find the perfect servers for your needs.
Last updated: March 2025. Server availability and features are current as of publication date. Check individual server documentation for the latest updates.