MCP Servers for Developers: A Comprehensive Guide

✅ One integration (MCP)
✅ Works everywhere (VS Code, Claude, Copilot)
✅ Standard format (JSON-RPC 2.0)
✅ Easy discovery (marketplace)
✅ Automatic authentication

// In VS Code with Agent-CoreX extension
@agent-corex "Create a GitHub PR and deploy to AWS"
// → Extension queries MCP servers
// → Returns 8 relevant tools
// → You select and execute

# Terminal
agent-corex query "Create GitHub PR and deploy to AWS"

# Output:
# Available tools:
# 1. create-pull-request (github-mcp) - 0.98
# 2. deploy-aws-ecs (aws-mcp) - 0.96
# ...

agent-corex exec create-pull-request --repo="owner/repo" --title="Feature"

GitHub Copilot Chat:
"@agent-corex retrieve tools for deploying to production"

Copilot shows:
1. deploy-aws-lambda (score: 0.98)
2. deploy-kubernetes (score: 0.95)
3. notify-slack (score: 0.92)

// Query natural language
const tools = await agent.retrieveTools({
  query: "Deploy my app and notify the team"
});

// Get ranked results from all connected MCP servers

// Execute the tool
const result = await agent.executeTool({
  toolName: tools[0].name,
  params: { /* tool-specific */ }
});

// One query, multiple servers' tools
const tools = await agent.retrieveTools({
  query: "Create GitHub issue, add to Jira, notify Slack"
});
// Gets tools from: github-mcp, jira-mcp, slack-mcp

Your App
  ↓
Agent-CoreX
  ↓ (encrypted)
Secure Vault (AES-256)
  ↓
MCP Server calls
  ↓
GitHub API / Slack API / etc.

✅ Credentials never logged
✅ Never exposed in requests
✅ Encrypted at rest
✅ Audit trails preserved

Developer writes code in VS Code
  ↓
Asks Agent-CoreX: "Review this PR on GitHub"
  ↓
Agent uses github-mcp to:
  - Check code quality
  - Run tests
  - Deploy to staging
  - Request human review

DevOps engineer needs deployment
  ↓
Agent-CoreX retrieves: terraform, kubernetes, aws tools
  ↓
Agent executes:
  - Validates Terraform
  - Deploys to Kubernetes
  - Monitors AWS resources
  - Alerts if issues

PM creates new feature request
  ↓
Agent-CoreX creates:
  - GitHub issue with requirements
  - Jira ticket for tracking
  - Slack notification for team
  - Confluence documentation

// ❌ Bad
await agent.retrieveTools({
  query: "do stuff"
});

// ✅ Good
await agent.retrieveTools({
  query: "Deploy Node.js app to AWS Lambda and notify Slack #deployments"
});

// Before executing, verify server is connected
const servers = await agent.getConnectedServers();
if (!servers.find(s => s.name === 'github-mcp')) {
  console.log('GitHub not connected!');
  // Guide user to connect
}

try {
  const result = await agent.executeTool({
    toolName: 'create-pull-request',
    params: { /* ... */ }
  });
} catch (error) {
  if (error.code === 'TOOL_NOT_FOUND') {
    // Tool not connected
  } else if (error.code === 'AUTH_FAILED') {
    // Token expired or invalid
  } else if (error.code === 'RATE_LIMITED') {
    // Wait and retry
  }
}

# Check which MCP servers are being used
agent-corex stats servers

# Output:
# github-mcp: 4,523 calls/month
# slack-mcp: 2,341 calls/month
# jira-mcp: 1,892 calls/month

# List all servers
agent-corex marketplace list

# Search for specific server
agent-corex marketplace search "deploy"

# Get details
agent-corex marketplace info github-mcp

import { MCPServer } from 'agent-corex-sdk';

const myServer = new MCPServer({
  name: 'my-company-mcp',
  version: '1.0.0',
  description: 'Custom tools for my company'
});

// Add your tools
myServer.addTool({
  name: 'deploy-custom-app',
  description: 'Deploy custom application',
  inputSchema: { /* JSON Schema */ },
  execute: async (params) => {
    // Your implementation
    return { success: true };
  }
});

// Start server
myServer.start();

1. Connect MCP Servers
   └─ GitHub, Slack, Jira, custom servers, etc.

2. Query for Tools
   └─ "Deploy app and notify team"
   └─ Returns ranked tools from all servers

3. Execute Tools
   └─ Run tools in sequence or parallel
   └─ Handle results and errors

4. Monitor & Improve
   └─ Track usage, performance, success rate
   └─ Optimize tool selection over time