MCP Server Development: Connect AI to Your Real Systems
The Model Context Protocol (MCP) is the open standard that lets AI assistants and agents use your tools and data. We build secure, production-grade MCP servers for your APIs, databases, business apps and CAD software.
Give AI safe, structured access to your business
AI models are powerful, but on their own they cannot see your CRM, query your database or create a drawing in AutoCAD. MCP solves this. An MCP server exposes tools (actions), resources (data) and prompts in a standard way, so any MCP-compatible client (Claude Desktop, ChatGPT, Cursor, VS Code, custom agents) can use them.
ENGIMANDI designs MCP servers with security first: authentication, fine-grained permissions, input validation, audit logs and human approval for sensitive actions. We build local (stdio) servers for desktop tools and remote (Streamable HTTP) servers with OAuth for teams and customers.
What you get
- Tool, resource & prompt design
- Local (stdio) & remote (HTTP) servers
- OAuth 2.1 authentication
- Role-based permissions & audit logs
- Connectors to your APIs & databases
- Testing with real AI clients
- Docker / cloud deployment
- Docs for your users and admins
MCP servers we build
Make any system AI-accessible, safely.
Database MCP Servers
Read-only or controlled query access to PostgreSQL, MySQL, SQL Server, MongoDB and data warehouses.
Business App Servers
Connect AI to your CRM, ERP, helpdesk, HRMS, accounting and project tools.
SaaS Product MCP
Ship an official MCP server so your customers' AI assistants can use your SaaS product.
CAD & Engineering MCP
Let AI query BOMs, read drawing data or trigger AutoCAD, Revit and SolidWorks automation.
Document & Knowledge MCP
Search SharePoint, Google Drive, Confluence and internal docs with permission-aware retrieval.
Developer Tool MCP
Internal APIs, CI/CD, logs and monitoring tools exposed to Cursor, Claude Code and IDE agents.
MCP tech stack
Official SDKs and production infrastructure.
Typical projects
- Sales team asks Claude for pipeline data from the CRM
- Support agent looks up orders and issues refunds with approval
- Engineers ask AI to find parts and generate BOM reports
- Official MCP server for a B2B SaaS product
- Developers query logs and deploy from their IDE
- Finance team queries ERP data in natural language
How we build MCP servers
Identify
Which systems, actions and data AI should access.
Design
Tool schemas, permissions and approval rules.
Build
MCP server with connectors, auth and logging.
Evaluate
Test with real AI clients and edge cases.
Deploy
Secure hosting, monitoring and rollout to users.
MCP server questions
What is an MCP server in simple terms?
It is a small service that acts as a secure adapter between AI assistants and your systems. The AI can discover what it is allowed to do and call those actions in a standard way. Read more in What is an MCP server?
Which AI apps support MCP?
Claude Desktop and Claude.ai, ChatGPT, Cursor, VS Code, Windsurf and many agent frameworks support MCP, and the list keeps growing.
Is it safe to let AI access our systems?
Yes, if designed properly. We limit tools to what is needed, enforce user permissions, validate inputs, log everything and require human approval for risky actions.
Can you build AI agents that use the MCP server?
Yes. We also build AI agents and agentic AI systems on top of your MCP servers.