🔗 Model Context Protocol

Custom MCP Development & Integration Tools

Build powerful MCP servers and tools that seamlessly connect AI models with your applications, databases, and services using the Model Context Protocol.

What is Model Context Protocol (MCP)?

MCP is an open standard that enables secure, controlled connections between AI applications and external data sources, tools, and services.

MCP in Action

AI

💬 "Show me sales data for Q4 and create a summary report"

→ MCP: Connecting to CRM database...
→ MCP: Fetching Q4 sales records...
→ MCP: Generating report template...
✓ Report created and saved to Drive
Secure, controlled data access via MCP

Secure Communication

Standardized protocol ensures secure, authenticated access to external resources with proper permission controls.

Universal Integration

Connect any AI model to any data source, API, or tool using a consistent, standardized interface protocol.

Real-time Context

Provide AI models with live, contextual data from your systems to make more informed and accurate decisions.

How MCP Works

Understanding the Model Context Protocol architecture and how it enables seamless AI-to-system communication.

AI Client

Claude, GPT-4, or any
MCP-compatible AI model

MCP Server

Your custom server handling
protocol communication

Your Systems

Databases, APIs, tools,
and business applications

MCP Protocol ensures secure, standardized communication between AI models and your business systems

Simple MCP Server Example

mcp-server.js
import { MCPServer } from '@dcxworks/mcp-sdk';

const server = new MCPServer({
  name: 'customer-data-server',
  version: '1.0.0'
});

// Register a tool for fetching customer data
server.addTool({
  name: 'get_customer',
  description: 'Fetch customer information by ID',
  parameters: {
    customer_id: { type: 'string', required: true }
  },
  handler: async ({ customer_id }) => {
    return await database.getCustomer(customer_id);
  }
});

server.start();

Custom MCP Development Services

We build custom MCP servers, tools, and integrations that connect your AI applications with any system or data source.

Custom MCP Servers

Build bespoke MCP servers that expose your APIs, databases, and tools to AI models with proper authentication and access controls.

Third-party

File System Tools

Enable AI models to read, write, and manage files securely with granular permissions and sandboxed access controls.

File Operations Permissions Sandboxing

Business Logic Tools

Create custom MCP tools that encapsulate your business logic, calculations, and domain-specific operations.

Custom Logic Calculations Workflows

Enterprise Security

Implement enterprise-grade security with OAuth, RBAC, audit logging, and compliance features for regulated industries.

OAuth/SSO RBAC Audit Logs

Database Connectors

Connect AI models directly to your databases with secure, query-safe MCP tools for PostgreSQL, MySQL, MongoDB, and more.

SQL/NoSQL Query Safety Schema Aware

API Integrations

Wrap existing REST APIs, GraphQL endpoints, and third-party services in MCP-compatible interfaces for AI access.

REST/GraphQL OpenAPI Protocol Implementation Authentication Rate Limiting

MCP Development Stack

We use cutting-edge technologies and frameworks to build robust, scalable MCP servers and tools.

TS

TypeScript

Type-safe MCP server development

Node

Node.js

Runtime for scalable MCP servers

PY

Python

Python MCP SDK and integrations

Go

Go

High-performance MCP servers

Popular MCP Integrations We Build

PG
PostgreSQL
API
REST APIs
GQL
GraphQL
AWS
AWS Services
+
Custom Tools

MCP Use Cases & Examples

Real-world examples of how MCP tools enable AI models to interact with business systems safely and effectively.

1

Customer Support MCP

AI agent queries customer database, retrieves order history, and updates support tickets through secure MCP tools.

mcp://customer-db/get-customer?id=12345
mcp://support-system/create-ticket
2

Sales Analytics MCP

Connect AI to CRM and analytics tools to generate reports, analyze trends, and provide insights automatically.

mcp://salesforce/query-opportunities
mcp://analytics/generate-report
3

Document Processing MCP

AI reads documents from cloud storage, extracts data, and updates business systems through structured MCP interfaces.

mcp://google-drive/read-file
mcp://erp-system/update-inventory
4

Financial Data MCP

Secure access to financial databases for AI-powered analysis, reporting, and compliance monitoring with audit trails.

mcp://finance-db/get-transactions
mcp://compliance/audit-log

Our MCP Development Process

From requirements to deployment, we follow a proven process to deliver robust MCP tools that meet your specific needs.

1

Analysis

Analyze your systems, APIs, and data sources to design the optimal MCP architecture and security model.

2

Design

Create MCP server specifications, define tool interfaces, and plan security controls and permissions.

3

Development

Build and test MCP servers, implement security features, and create comprehensive documentation.

4

Integration

Deploy MCP servers, integrate with AI clients, and provide training on usage and maintenance.

Ready to Build?

Transform your business with custom AI agents. From concept to deployment in just one week.

7-Day Delivery

From initial consultation to fully deployed AI agent, we deliver working solutions in one week.

Custom Integration

Seamlessly connect with your existing tools: CRM, email, databases, and 500+ applications.

Enterprise Security

Bank-grade security, GDPR compliant, with full data encryption and audit trails.

Start Your AI Transformation Today

Book a free 30-minute consultation to discuss your automation needs and see how AI agents can transform your workflows.

hey@dcxworks.com
+91 9994054717
Chennai, India

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