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Output-Based Service

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Build an MCP for Your Startup

Timeline: 3-6 weeks

The Model Context Protocol (MCP) is the new standard for connecting AI assistants to external tools and data sources. We build custom MCP servers that let AI models interact with your APIs, databases, and services—enabling powerful AI-native experiences for your users.

What You Get

1

Custom MCP Server

A fully functional MCP server exposing your tools and resources to AI models.

2

Tool Definitions

Well-designed tool schemas that AI models can understand and use effectively.

3

Resource Providers

Dynamic data access that gives AI real-time context from your systems.

4

Security & Authentication

Secure integration patterns with proper authentication and authorization.

5

SDK & Documentation

Developer documentation and SDKs for extending and maintaining your MCP.

Our Process

01

Integration Mapping

Identify which APIs, data sources, and tools should be exposed through MCP.

02

Schema Design

Design intuitive tool and resource schemas optimized for AI understanding.

03

Implementation

Build the MCP server with robust error handling and performance optimization.

04

Testing & Deployment

Validate with multiple AI clients and deploy to your infrastructure.

Who Is This For?

This service is ideal for:

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AI-Native SaaS Products

Let users interact with your product through their favorite AI assistants.

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Internal AI Tools

Give your team AI access to internal systems, docs, and databases.

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Developer Platforms

Enable developers to build AI integrations with your platform via MCP.

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Ready to build your mcp?

Let's discuss your project and create a custom plan that fits your needs.

Build Your MCP