Build once.
Connect to every AI assistant.

We build highly-secure Model Context Protocol (MCP) servers that connect your enterprise data, CRMs, and APIs directly to ChatGPT, Claude, Microsoft Copilot, and custom agents.

Discuss Your Connector Strategy
ChatGPT Apps
Claude (Desktop/Code)
MS Copilot
MCP SERVER
JSON-RPC 2.0 Standard
Salesforce CRM
SAP ERP
Internal APIs
MCP Expertise| OAuth 2.0 / DCR•TypeScript / Python SDKs•Streamable HTTP•Salesforce Integration•Anthropic Connectors•ChatGPT Apps SDK
The Protocol Shift

The gap is no longer the model.
It's the last-mile connector.

The AI ecosystem has reached a turning point. Every major AI platform — ChatGPT, Claude, Microsoft Copilot, Google Gemini, Cursor — now speaks a single integration language: the Model Context Protocol (MCP).

For the first time, a business can build one connector and have it work across all of these surfaces simultaneously. The challenge? Companies lack the in-house expertise to build MCP-compliant connectors, manage strict OAuth flows, publish to directories, or architect secure server infrastructure.

That is the exact gap we fill.

The API Integration Nightmare

Maintaining separate integrations for ChatGPT, Claude, Microsoft Copilot, and custom agents requires duplicative engineering effort.

OAuth & Security Compliance

Exposing internal enterprise data to external AI surfaces requires complex Dynamic Client Registration (DCR) and strict OAuth 2.0 flows.

Locked Enterprise Context

Millions of records locked in Salesforce, SAP, and custom databases that modern AI assistants cannot read or reason over.

Model Deprecation Churn

Companies built on legacy APIs (like the deprecated OpenAI Assistants API) are forced to migrate to modern MCP architectures.

The Connector Universe

Connect to every AI surface.

Claude and ChatGPT are just the beginning. Our MCP servers integrate your enterprise data across the entire AI ecosystem.

OpenAI Apps SDK

ChatGPT Apps

Build rich, interactive apps that live natively inside ChatGPT. Provide natural language answers along with interactive UI components (maps, forms, carousels) directly in the chat.

Anthropic MCP Directory

Claude Connectors

Publish your connector to Claude's directory so users can invoke your tools from Claude.ai, Claude Code, and Cowork. Includes full Dynamic Client Registration (DCR) OAuth flows.

Cursor, Windsurf, Copilot

IDE & Dev Tools

Empower your engineering teams by securely exposing internal API documentation, DB schemas, and JIRA workflows directly to their AI coding assistants.

Highest Value
The Vendor-Neutral Solution

Custom Enterprise MCP

Don't lock your data into one AI provider. We build a private, self-hosted MCP layer that securely bridges your Salesforce, SAP, and SharePoint to any MCP-compliant AI client your enterprise adopts tomorrow.

Vendor-Neutral Architecture

Your AI strategy isn't locked in.

100% Data Control

Hosted on your infrastructure (VPC/Azure/AWS).

Multi-System Integration

Salesforce, SAP, SharePoint, all via one registry.

The true value is Custom Enterprise MCP.

If your employees use Microsoft Copilot, Google Gemini, or internal AI agents, they need access to your company's proprietary data (CRM, ERP, internal docs).

Instead of building 5 separate integrations for 5 AI tools, you build one private MCP server registry. Your internal Copilot can now answer questions like "What is the inventory of SKU-4521?" by querying your SAP MCP server securely, respecting employee SSO permissions.

Engagement Models

Service Tiers

Starter

SaaS companies wanting to list in Claude or ChatGPT directories.

₹3–5LFixed Scope
Timeline: 8–12 weeks
  • Remote MCP server (Node.js or Python)
  • Up to 10 tool definitions
  • OAuth 2.0 authentication (DCR-compliant)
  • Deployed on Cloudflare Workers or Azure
  • Directory submission package
  • 30-day post-launch support
Start Project
Most Popular

Full Platform

Enterprises wanting deep integration into AI surfaces + internal use.

₹8–15LFixed Scope
Timeline: 12–18 weeks
  • Everything in Starter, plus:
  • Up to 30 tool definitions
  • Resource endpoints & prompt templates
  • Plugin bundle with Skills (Claude Code)
  • ChatGPT App UI components
  • Multi-environment deployment
  • 90-day maintenance SLA
Start Project

Enterprise

Large enterprises building internal AI infrastructure across clients.

CustomFixed Scope
Timeline: 20–30 weeks
  • Private/self-hosted MCP architecture
  • Multi-tenant support with per-user auth
  • Integration with enterprise SSO (SAML, Azure AD)
  • Connectors for 3+ enterprise systems
  • Audit logging and compliance reporting
  • Row-level security and data access controls
  • 12-month support contract
Start Project
Structured Delivery

Fixed Scope. Precise Execution.

We deliver through highly-structured, time-boxed milestones so you achieve production readiness without consulting drift.

Week 1–2Step 01

Architecture & Requirements

We audit your existing APIs, databases, and OAuth requirements to design the optimal MCP server architecture and define tool schemas.

Week 3–6Step 02

MCP Server Development

We build your secure, remote MCP server with dynamic client registration (DCR), tool definitions, and resource endpoints.

Week 7–8Step 03

Testing & Integration

We validate auth flows, test against Claude/ChatGPT inspectors, and optimize tool schemas for LLM understanding.

Week 9–10Step 04

Deployment & Directory Launch

We deploy the server to production, integrate with your enterprise SSO, and manage the submission process to AI platform directories.

Build Your Enterprise Connectivity Layer

Connect your data to the AI era.

Let's discuss how MCP can securely expose your internal data, Salesforce CRM, and workflows to the AI assistants your team already uses.

Schedule a Strategy Call