Best MCP Servers for Developers (2026)

claude_desktop_config.json

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/you/projects",
        "/Users/you/code"
      ]
    }
  }
}

claude_desktop_config.json

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_personal_access_token_here"
      }
    }
  }
}

claude_desktop_config.json

{
  "mcpServers": {
    "git": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-git",
        "/Users/you/projects"
      ]
    }
  }
}

claude_desktop_config.json

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
    }
  }
}

Example Docker Workflow

# Just ask Claude:
"Show me all running containers and their resource usage"
"Build a Docker image from my current directory with tag 'api:v2'"
"Why is my postgres container constantly restarting?"
"Create a docker-compose.yml for my Node app with Redis and Postgres"

# Claude handles the Docker commands automatically

Example Kubernetes Queries

"Which pods are in CrashLoopBackOff state and why?"
"Scale my api-deployment to 5 replicas"
"Show me resource limits for all deployments in production namespace"
"Create a deployment manifest for my Node.js app with health checks"

claude_desktop_config.json

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "POSTGRES_CONNECTION_STRING": "postgresql://user:pass@localhost:5432/mydb"
      }
    }
  }
}

Example Database Workflows

"Show me the top 10 slowest queries from last week"
"Design a database schema for a multi-tenant SaaS application"
"Add an index to speed up user searches by email"
"Find all users who signed up this month but never logged in"

Example Monitoring Queries

"Show me API response time p95 for the last hour"
"Why did error rate spike at 3pm?"
"Compare database query performance before and after the deployment"
"Find the slowest endpoints in my API service"

Cursor MCP Configuration

# Location: ~/.cursor/mcp_config.json

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/you/projects"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    },
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "POSTGRES_CONNECTION_STRING": "postgresql://localhost/dev"
      }
    },
    "docker": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-docker"]
    }
  }
}

Natural Language Debugging

You: "Users are reporting 500 errors on /api/checkout"

Claude investigates automatically:
1. Checks application logs (Datadog)
2. Reviews recent code changes (GitHub)
3. Queries database for failed transactions (Postgres)
4. Examines API traces (Grafana Tempo)
5. Identifies the issue: DB connection pool exhausted
6. Suggests fix: Increase pool size in config
7. Opens PR with the fix
8. Monitors metrics after deployment

End-to-End Development

You: "Add user profile image uploads with S3 storage"

Claude's workflow:
1. Designs database schema (Postgres)
2. Creates migration files (Filesystem)
3. Implements upload endpoint (Filesystem)
4. Adds image processing logic (Filesystem)
5. Updates frontend components (Filesystem)
6. Writes tests (Filesystem)
7. Commits changes (Git)
8. Creates PR with screenshots (GitHub)
9. Monitors build status (CircleCI)

Systematic Performance Tuning

You: "The dashboard page loads slowly"

Claude's analysis:
1. Reviews page load metrics (Datadog)
2. Identifies slow database queries (Postgres)
3. Suggests adding indexes (Postgres)
4. Implements query caching (Redis)
5. Optimizes frontend bundle (Filesystem)
6. Adds performance monitoring (Datadog)
7. Compares before/after metrics
8. Documents optimizations in PR (GitHub)