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Empower Your AI with MCP Server Development

Build an MCP Server to connect your AI with APIs, tools, and processes. Secure, scalable, and ready for the future.

START YOUR PROJECT

Build an MCP Server for AI and API Workflows

The Model Context Protocol (MCP) is changing the way teams connect their AI applications to tools, APIs, and external data sources. An MCP server acts as a secure bridge between your AI models, your internal systems, and external APIs.

At 10Clouds, we specialize in MCP server development. We help businesses build an MCP server, configure it, and integrate it into their workflows — so your AI agents can do real work, not just chat.

Expertise in AI Systems

From custom AI agents to API integration.

Security-First Approach

OAuth 2.1, API keys management, and least-privilege design.

Hand-On Support

We help configure, format, and debug your custom MCP server.

Future-Proof

Aligned with official MCP documentation (docs mcp) and evolving ecosystem.

Use MCP Tools, Prompts, and Resources

An MCP server can provide:

MCP Tools

Actions for your AI agent to call (e.g., create a GitHub issue).

MCP Resources

Data and APIs your AI model can access.

MCP Prompts

Reusable instructions to simplify repeated workflows.

Build an MCP Server Step by Step

Our MCP Server Development process includes:

Designing the Architecture

Map your workflows, choose related tools, and define prompts.

Implementing an MCP server

We build a custom MCP server for you.

Configuring Resources & Tools

Add APIs, CLI commands, or external integrations.

Debug & Troubleshoot

We launch and provide ongoing support.

Deployment & Ongoing Support

Host locally with stdio or as a remote MCP server in the cloud.

Raymond Wojtala

Senior Account Manager

Build Your Own MCP with 10Clouds

Whether you need a custom MCP server for internal systems, or a remote MCP server to give clients access to external tools, 10Clouds helps you design, implement, and manage it.

SCHEDULE YOUR CONSULTATION

Related Tools and Real Examples

Companies are already using MCP servers to power real-world AI development. These examples prove how installed MCP servers can transform the way you use AI tools.

GitHub MCP Server

Manage repositories, issues, and workflows.

Atlassian MCP

Connect Jira and Confluence.

Snowflake MCP

Run queries from AI systems.

AIConsole

AIConsole is our in-house AI platform built on modular architecture that integrates multiple AI models, APIs, and tools securely. It exposes prompts, resources, and connectors in a way similar to MCP servers, making it a strong proof of our ability to build custom MCP servers for enterprise workflows.

Open Source

AI Integration

Generative AI

Learn more

Trust Stamp

Trust Stamp is a digital identity and KYC solution that uses secure APIs and verification services to authenticate users and manage identity data. Its scalable API architecture shows our ability to integrate with critical systems, which is essential when building MCP servers that connect AI agents to business APIs.

Machine Learning

Python Backend

UX/UI

Team Extension

Learn more