Protocol Infrastructure

MCP Server
Development

Connect your data and tools to AI models using the Model Context Protocol. We build standardized, secure servers that bridge your business logic with LLMs.

Universal

Standard

1:N

Connectivity

JSON-RPC

Protocol

Secure

By Design

Connect Your Data

Standardize your AI integrations.

Universal Connectivity

The Model Context Protocol (MCP) solves the compatibility problem. We build servers that speak the universal language of AI tools.

Standardized Connections

Stop writing custom integrations for every AI model. MCP provides a universal standard to connect data to LLMs.

Expose Resources

Allow AI models to safely read files, database rows, and logs as 'Resources' without hallucinating structure.

Expose Tools

Give AI the ability to execute code, call APIs, or query systems via executable 'Tools'.

Client-Agnostic

Build your MCP server once, and it works with Claude Desktop, IDEs, and any MCP-compliant client.

Local & Remote

Run servers locally via Stdio for privacy, or deploy remotely via SSE (Server-Sent Events) for teams.

Prompts System

Standardize reusable prompt templates within the server to guide the AI's interaction with your data.

Integration Types

What We Connect

We wrap your proprietary systems into MCP-compliant servers, making them instantly accessible to major AI clients.

Internal Database MCP Servers
SaaS API Connectors
Filesystem Bridge Servers
DevOps & Log Analysis Servers
Slack/Teams Context Servers
E-commerce Product Catalog Servers
Legacy System Wrappers
Secure Document Vaults
Expertise
Protocol Stack

Built on Standards

TypeScript SDKTypeScript SDK
Python SDKPython SDK
Node.jsNode.js
JSON-RPC 2.0JSON-RPC 2.0
SSESSE
DockerDocker
PostgreSQLPostgreSQL
FastAPIFastAPI

MCP Readiness Checklist

Prepare your data for the new AI standard.

Identification of key data Resources (URI schemes)
Definition of executable Tools (API endpoints)
Security scope & access control planning
Transport layer selection (Local vs Remote)
Testing with MCP Inspector
Next-Gen Technology

Plug & Play Architecture

MCP Servers decouple the model from the data. This allows you to swap AI models (Claude, GPT, Llama) while keeping your data integrations intact.
Context Awareness
Real-time Data Fetching
Structured Output Validation
Human-in-the-loop Tooling
Protocol Handshakes
Dynamic Resource Listing
Error Handling Propagation
State Management
Lifecycle

Building a Server

From schema definition to active connection.

01

Schema Definition

Defining the Resources, Tools, and Prompts your server exposes.

02

Handler Logic

Writing the code that actually fetches data or runs the tool.

03

Transport Setup

Configuring Stdio (Local) or SSE (Remote) communication.

04

Inspection

Testing with the MCP Inspector to verify protocol compliance.

05

Client Connection

Connecting the server to Claude Desktop or your custom AI app.

Sectors

Who Needs MCP?

DevTools

DevTools

IDE Integration Servers

Enterprise

Enterprise

Internal Wiki Context

FinTech

FinTech

Secure Ledger Access

Healthcare

Healthcare

Patient Record Bridge

E-Commerce

E-Commerce

Inventory Lookups

Cloud

Cloud

Infrastructure Control

Human Consent

Read-Only Mode

Transport Encryption

Isolated Scope

Safe Access

Security First

MCP puts humans in control. We configure servers to ensure AI cannot access files or run tools without explicit permission.

Tools require user confirmation before execution
Resources defined as read-only by default
No direct access to file system outside whitelist
Token-based authentication for SSE transports
Why Us

Experts in Connectivity

Standard

Compliant

Secure

Implementation

Cloud

Native Deployment

Custom

Tool Logic

Open

Ecosystem

Protocol Insights

Technical guides on the Model Context Protocol

MCP Blog5 min read

What is MCP?

The new standard for connecting AI to data.

Read full article
MCP Blog5 min read

Building Your First MCP Server

A guide to exposing your SQLite DB to Claude.

Read full article
MCP Blog5 min read

Stdio vs SSE Transports

When to use local pipes vs HTTP streams.

Read full article
MCP Blog5 min read

Securing AI Context

Preventing data leakage with proper resource scoping.

Read full article
MCP Blog5 min read

The End of Custom Connectors

Why standardized protocols are the future of AI.

Read full article

Standardize Your AI Stack

Stop building fragile custom integrations. Adopt the MCP standard for robust, future-proof AI connections.

Call Us

+91-9110176498 | +91-9102038933

Email Us

contact@murmusoftwareinfotech.com

Visit Website

murmusoftwareinfotech.com

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Support
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  • contactus@murmusoftwareinfotech.com
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