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MCP Servers Overview

Model Context Protocol (MCP) servers extend Claude Code's capabilities by providing specialized tools and integrations. MCP servers run independently and communicate with Claude Code through a standardized protocol.

What are MCP Servers?

MCP servers are external processes that provide:

  • Custom Tools: Specialized functions for specific domains
  • Data Integrations: Connect to databases, APIs, and services
  • Domain Expertise: Industry-specific knowledge and workflows
  • External Services: File systems, cloud providers, development tools

Available MCP Servers

think-tool

Advanced reasoning and analysis capabilities.

Features:

  • Deep reasoning modes
  • Multi-step problem solving
  • Context analysis
  • Decision trees

Learn more →

database-mcp

Database integration and management tools.

Features:

  • Multi-database support (PostgreSQL, MySQL, MongoDB)
  • Query optimization
  • Schema management
  • Migration tools

api-explorer-mcp

REST and GraphQL API exploration and testing.

Features:

  • API discovery
  • Endpoint testing
  • Schema validation
  • Documentation generation

file-manager-mcp

Advanced file system operations.

Features:

  • Bulk file operations
  • Smart search and filtering
  • File type detection
  • Content analysis

git-advanced-mcp

Extended Git functionality beyond basic operations.

Features:

  • Advanced merge strategies
  • Commit analysis
  • Branch management
  • Repository statistics

cloud-provider-mcps

Cloud service integrations (AWS, GCP, Azure).

Features:

  • Resource management
  • Deployment automation
  • Monitoring setup
  • Cost optimization

MCP Server Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Claude Code │◄──►│ MCP Server │◄──►│ External APIs │
│ (Client) │ │ (Provider) │ │ & Services │
└─────────────────┘ └─────────────────┘ └─────────────────┘

Communication Flow

  1. Tool Request: Claude Code requests a tool from MCP server
  2. Processing: MCP server processes request with external services
  3. Response: MCP server returns results to Claude Code
  4. Integration: Claude Code integrates results into workflow

Server Configuration

Basic Setup

// .claude/mcp-servers.json
{
"servers": {
"think-tool": {
"command": "npx",
"args": ["@claude/think-tool"],
"env": {}
},
"database-mcp": {
"command": "database-mcp",
"args": ["--config", "db-config.json"],
"env": {
"DATABASE_URL": "postgresql://localhost/myapp"
}
}
}
}

Advanced Configuration

{
"servers": {
"api-explorer": {
"command": "api-explorer-mcp",
"args": ["--port", "3001"],
"env": {
"API_TIMEOUT": "30000",
"RATE_LIMIT": "100"
},
"timeout": 60000,
"restart": true
}
},
"global": {
"timeout": 30000,
"retries": 3,
"logging": "info"
}
}

Server Categories

Development Tools

Servers that enhance the development experience:

  • code-analyzer-mcp: Static code analysis and metrics
  • dependency-manager-mcp: Package management and security scanning
  • test-runner-mcp: Advanced testing capabilities
  • linter-mcp: Code style and quality enforcement

External Integrations

Servers that connect to external services:

  • github-mcp: Advanced GitHub operations
  • slack-mcp: Team notifications and collaboration
  • jira-mcp: Project management integration
  • monitoring-mcp: Application observability

Data & Analytics

Servers for data processing and analysis:

  • analytics-mcp: Usage metrics and insights
  • reporting-mcp: Automated report generation
  • visualization-mcp: Chart and graph creation
  • ml-pipeline-mcp: Machine learning workflows

Security & Compliance

Servers focused on security and regulatory compliance:

  • security-scanner-mcp: Vulnerability detection
  • compliance-checker-mcp: Regulatory requirement validation
  • audit-logger-mcp: Comprehensive audit trails
  • secrets-manager-mcp: Secure credential management

Server Lifecycle

Installation

# Install from npm registry
npm install -g @claude/think-tool

# Install from custom source
git clone https://github.com/company/custom-mcp
cd custom-mcp && npm install && npm link

# Add to Claude Code configuration
claude-code mcp add think-tool

Updates

# Update all servers
claude-code mcp update

# Update specific server
claude-code mcp update think-tool

# Check for updates
claude-code mcp check-updates

Management

# List configured servers
claude-code mcp list

# Server status
claude-code mcp status think-tool

# Server logs
claude-code mcp logs think-tool --tail=100

# Restart server
claude-code mcp restart think-tool

Creating Custom MCP Servers

Basic Server Structure

// src/server.ts
import { Server } from '@claude/mcp-sdk';

const server = new Server({
name: 'my-custom-server',
version: '1.0.0'
});

// Register tools
server.addTool({
name: 'analyze-code',
description: 'Analyze code quality and structure',
parameters: {
type: 'object',
properties: {
file_path: { type: 'string' },
analysis_type: { type: 'string' }
}
},
handler: async (params) => {
// Tool implementation
const analysis = await analyzeCode(params.file_path);
return {
content: analysis,
isError: false
};
}
});

server.start();

Tool Implementation

// Tool with external API integration
server.addTool({
name: 'deploy-service',
description: 'Deploy service to cloud platform',
parameters: {
type: 'object',
properties: {
service_name: { type: 'string' },
environment: { type: 'string' },
config: { type: 'object' }
},
required: ['service_name', 'environment']
},
handler: async ({ service_name, environment, config }) => {
try {
const deployment = await cloudProvider.deploy({
name: service_name,
env: environment,
configuration: config
});

return {
content: `Service ${service_name} deployed successfully to ${environment}`,
data: {
deployment_id: deployment.id,
url: deployment.url,
status: deployment.status
}
};
} catch (error) {
return {
content: `Deployment failed: ${error.message}`,
isError: true
};
}
}
});

Resource Management

// Resource (prompts, templates, data)
server.addResource({
uri: 'prompt://code-review-template',
name: 'Code Review Template',
description: 'Template for comprehensive code reviews',
mimeType: 'text/plain'
});

server.addResourceHandler('prompt://', async (uri) => {
const templateName = uri.split('//')[1];
const template = await loadTemplate(templateName);
return {
contents: [{
uri,
mimeType: 'text/plain',
text: template
}]
};
});

Server Security

Authentication

// API key authentication
server.addMiddleware({
authenticate: (request) => {
const apiKey = request.headers['x-api-key'];
return validateApiKey(apiKey);
}
});

// OAuth integration
server.addMiddleware({
oauth: {
provider: 'github',
scopes: ['repo', 'read:user']
}
});

Input Validation

// Strict parameter validation
server.addTool({
name: 'process-data',
parameters: {
type: 'object',
properties: {
data: {
type: 'string',
pattern: '^[a-zA-Z0-9]+$',
maxLength: 1000
}
},
additionalProperties: false
},
handler: async ({ data }) => {
// Sanitize input
const sanitized = sanitizeInput(data);
return processData(sanitized);
}
});

Performance Optimization

Caching

// Response caching
server.addTool({
name: 'expensive-operation',
handler: async (params) => {
const cacheKey = `operation:${JSON.stringify(params)}`;

// Check cache first
const cached = await cache.get(cacheKey);
if (cached) return cached;

// Perform operation
const result = await expensiveComputation(params);

// Cache result
await cache.set(cacheKey, result, { ttl: 300 });
return result;
}
});

Connection Pooling

// Database connection pooling
const pool = new Pool({
connectionString: process.env.DATABASE_URL,
max: 20,
idleTimeoutMillis: 30000
});

server.addTool({
name: 'query-database',
handler: async ({ query, params }) => {
const client = await pool.connect();
try {
const result = await client.query(query, params);
return result.rows;
} finally {
client.release();
}
}
});

Monitoring & Observability

Health Checks

server.addHealthCheck({
name: 'database-connection',
check: async () => {
try {
await database.ping();
return { status: 'healthy' };
} catch (error) {
return {
status: 'unhealthy',
error: error.message
};
}
}
});

Metrics Collection

// Custom metrics
server.addMetrics({
counters: ['tool_calls', 'errors'],
histograms: ['response_time', 'payload_size'],
gauges: ['active_connections']
});

// Tool execution metrics
server.addTool({
name: 'tracked-operation',
handler: async (params) => {
const start = Date.now();
server.metrics.counter('tool_calls').inc();

try {
const result = await operation(params);
server.metrics.histogram('response_time').observe(Date.now() - start);
return result;
} catch (error) {
server.metrics.counter('errors').inc();
throw error;
}
}
});

Best Practices

1. Server Design

  • Single Responsibility: Each server should have a focused purpose
  • Stateless Operations: Avoid maintaining server-side state when possible
  • Error Handling: Implement comprehensive error handling
  • Documentation: Provide clear tool descriptions and examples

2. Performance

  • Lazy Loading: Load resources only when needed
  • Connection Reuse: Pool connections to external services
  • Caching: Cache expensive operations appropriately
  • Timeouts: Set reasonable timeouts for all operations

3. Security

  • Input Validation: Validate all inputs thoroughly
  • Authentication: Secure access to sensitive operations
  • Rate Limiting: Prevent abuse with rate limiting
  • Audit Logging: Log all significant operations

4. Development

  • Testing: Include comprehensive test suites
  • Versioning: Use semantic versioning
  • Documentation: Maintain up-to-date documentation
  • Monitoring: Include health checks and metrics

Server Discovery

# Search for available servers
claude-code mcp search "database"

# Show server details
claude-code mcp info database-mcp

# Install from registry
claude-code mcp install database-mcp

Community Servers

Popular community-maintained MCP servers:

  • github-mcp: Advanced GitHub integration
  • docker-mcp: Container management
  • kubernetes-mcp: K8s cluster operations
  • terraform-mcp: Infrastructure as code
  • monitoring-mcp: Application observability

Troubleshooting

Common Issues

  1. Server Not Starting: Check configuration and dependencies
  2. Connection Errors: Verify network connectivity and permissions
  3. Tool Failures: Review tool parameters and error messages
  4. Performance Issues: Check server resources and caching

Debug Commands

# Debug server startup
claude-code mcp debug think-tool

# View server logs
claude-code mcp logs think-tool --level=debug

# Test server connectivity
claude-code mcp ping think-tool

Next Steps