Top 40 Community MCP Servers

The MCP ecosystem has grown exponentially, with hundreds of servers available. This guide presents the 40 most valuable MCP servers for modern software engineering, organized by category and use case.

Tip

This guide includes quick install commands for both Claude Code CLI and Cursor. Replace placeholder values (like ...) with your actual tokens or paths.

1. Version Control & Repository Hosting

Essential for any development workflow - these servers connect your AI to your code history and collaboration platform.

Server	Purpose	Auth Required	Quick Install
Git	Direct git CLI operations	None (local)	npx -y @modelcontextprotocol/git@latest
GitHub	Full GitHub API access	PAT/OAuth	Use hosted: https://api.githubcopilot.com/mcp/
GitLab	Self-hosted/SaaS GitLab	PAT	npx -y @mcp/gitlab@latest
Bitbucket	Atlassian ecosystem	App password	npx -y @atlassian/bitbucket-mcp-server
Gitea	Lightweight self-hosted	API token	npx -y @gitea/mcp-server

Pro Tip

Start with Git for local operations and add your primary hosting platform (GitHub, GitLab, etc.) for remote operations like PR management.

2. CI/CD & Build Automation

Automate your entire build pipeline through natural language commands.

CircleCI

• Inspect jobs and logs
• Restart workflows
• Approve deployments

Install: npx -y @circleci/mcp-server-circleci

Jenkins

• Trigger builds
• Query job status
• Legacy integration

Install: npx -y jenkins-mcp-server

Bitrise

• Mobile-first CI
• iOS/Android builds
• App distribution

Install: npx -y @bitrise-io/mcp-server

Azure DevOps

• Boards & Repos
• Pipelines
• Microsoft stack

Use: https://mcp.azure.com/

3. Cloud & Infrastructure

Provision and manage cloud resources without leaving your IDE.

Major Cloud Providers

AWS

# Full AWS resource management
docker run -e AWS_ACCESS_KEY_ID=... \
           -e AWS_SECRET_ACCESS_KEY=... \
           ghcr.io/aws/mcp-server

# Capabilities:
# - S3 bucket operations
# - Lambda function management
# - EKS cluster control
# - EC2 instance provisioning

Google Cloud

# Cloud Run deployment
claude mcp add gcrun \
  --url https://mcp.cloudrun.googleapis.com/

# Features:
# - Deploy containerized apps
# - Manage Cloud Run services
# - Scale automatically
# - Traffic routing

Azure

# Comprehensive Azure suite
npx -y @azure/azure-mcp@latest

# 15+ specialized connectors:
# - Resource management
# - Database operations
# - Container services
# - Monitor & logging

Specialized Platforms

Platform	Focus Area	Install Command
Cloudflare	Edge computing, Workers, R2	npx -y cloudflare-mcp
DigitalOcean	Simple cloud resources	npx -y digitalocean-mcp
Kubernetes	Container orchestration	npx -y kubernetes-mcp-server
Docker Hub	Image management	Use: https://mcp.docker.com/

4. Databases & Storage

Natural language database operations across SQL and NoSQL systems.

PostgreSQL

Production-ready SQL

• Schema introspection
• Query optimization
• Migration support

docker run -e PG_URL=... pg-mcp-server

Redis

In-memory operations

• KV store access
• Stream processing
• Vector search

npx -y @redis/mcp-redis

MongoDB

Document store

• Natural language queries
• Aggregation pipelines
• Index management

npx -y @mongodb/mcp-server

Elasticsearch

Full-text search

• Log analytics
• Search queries
• Index operations

npx -y elasticsearch-mcp

Specialized Databases

• ClickHouse: OLAP analytics (npx -y clickhouse-mcp-server)
• Chroma: Vector DB for AI (npx -y chroma-mcp)
• GreptimeDB: Time-series metrics (npx -y greptimedb-mcp)

5. Monitoring & Observability

Keep your systems healthy with AI-assisted monitoring.

1. Sentry - Error tracking and performance

   npx -y sentry-mcp
   # Query issues, stack traces, release health

2. Grafana - Metrics visualization

   npx -y grafana-mcp
   # Search dashboards, run PromQL queries

3. Dynatrace - APM and diagnostics

   npx -y dynatrace-mcp
   # Live performance data, problem detection

Code Quality Tools

Tool	Purpose	Install
SonarQube	Static analysis	npx -y sonarqube-mcp-server
Codacy	Code review automation	npx -y codacy-mcp

6. Testing & Browser Automation

Essential Testing Stack

1. Playwright - Cross-browser testing

   npx -y @playwright/mcp@latest

2. BrowserStack - Cloud device testing

   npx -y browserstack-mcp

3. Debugg.AI - AI-driven E2E testing

   npx -y debuggai-mcp

7. Collaboration & Project Management

Connect your AI to your team’s workflow.

Issue Tracking

Platform	Best For	Install
Linear	Modern product teams	https://mcp.linear.app/sse
Jira	Enterprise workflows	https://mcp.atlassian.com/jira/
GitHub Issues	Open source projects	Via GitHub MCP
Azure Boards	Microsoft teams	Via Azure MCP

Communication

Platform	Integration	Install
Slack	Messages, channels	npx -y slack-mcp-server
Discord	Community management	npx -y discord-mcp
Teams	Microsoft ecosystem	Via Microsoft Graph

Documentation

Platform	Use Case	Install
Notion	Team wikis	https://api.notion.com/mcp/
Confluence	Enterprise docs	https://mcp.atlassian.com/confluence/
Obsidian	Personal knowledge	npx -y obsidian-mcp

8. Utility Servers

The Swiss Army knives of the MCP ecosystem.

Fetch

Safe web scraping and API calls

npx -y @modelcontextprotocol/fetch

Filesystem

Local file operations

npx -y @modelcontextprotocol/filesystem

Time

Timezone and date calculations

npx -y @modelcontextprotocol/time

Everything

Kitchen sink for testing

npx -y @modelcontextprotocol/everything

Building Your Optimal Stack

Starter Pack (5 servers)

1. Git - Local version control
2. GitHub/GitLab - Remote collaboration
3. Filesystem - File operations
4. PostgreSQL/MongoDB - Your primary database
5. Slack/Linear - Team communication

Professional Stack (10-15 servers)

Add to starter:

• AWS/Azure/GCP - Cloud infrastructure
• Playwright - Browser testing
• Sentry - Error monitoring
• Docker/Kubernetes - Container management
• CircleCI/Jenkins - CI/CD automation

Enterprise Stack (20+ servers)

Include specialized tools:

• SonarQube - Code quality gates
• Confluence - Documentation
• Grafana - Metrics dashboards
• Multiple databases - Polyglot persistence
• Compliance tools - Audit and security

Best Practices

Caution

Security First: Always use environment variables for sensitive credentials. Never commit tokens to version control.

1. Start Small: Begin with 3-5 essential servers
2. Use Docker When Possible: Isolate server environments
3. Monitor Performance: Too many servers can slow AI responses
4. Rotate Credentials: Regular token rotation for security
5. Document Your Stack: Share configurations with your team

Quick Reference

Installation Patterns

# NPX pattern (most common)
npx -y @organization/mcp-server-name

# Docker pattern (for isolation)
docker run -e API_KEY=... image-name

# Remote URL pattern (hosted servers)
--url https://api.service.com/mcp/

# Local development
claude mcp add [name] -s user -- [command]

Debugging Tips

# List available tools
"Show me all available MCP tools"

# Test a specific server
"Test the GitHub MCP connection"

# Check server status
"Which MCP servers are currently active?"

Next Steps

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