What is an MCP server?

An MCP (Model Context Protocol) server acts as a bridge between legacy software APIs/databases and modern AI models, enabling secure, standardized access to data and functions.

Can you deploy MCP servers in our infrastructure?

Yes, we offer both on-premises and cloud deployment options. Our team can handle the full deployment process or provide support for your IT team.

Which platforms can use MCP servers?

MCP servers are platform-agnostic and can be used by any client supporting the protocol, including OpenAI, FlowHunt, and various development tools.

Can you integrate with our existing APIs or databases?

Absolutely. We specialize in connecting legacy APIs and databases to MCP servers, making your data and functions accessible to new AI models.

Do you provide ongoing support?

We offer ongoing maintenance, monitoring, and support packages to ensure your MCP server remains secure, up-to-date, and high-performing.

Is there ever a good reason to use a standard library to wrap an API for MCP?

There are some limited cases, such as quickly testing new ideas or building chat interfaces that need to stay connected, where wrapping an API for MCP with a standard library makes sense. But even then, it’s important to add strong security, clear version control, and good management. For most real-world uses, simply wrapping API with MCP library will not be efficient, often will generate too much overhead, and will not be secure enough. It’s better to build a custom MCP server that is tailored to your specific needs and can handle the complexities of your legacy systems.

How can I secure an MCP server if I must use one?

Start by making sure every endpoint requires a user to prove who they are and what they’re allowed to do. Use trusted identity systems and set clear rules for access. API key rotation and limited validity for access to MCP server should be a MUST. Regularly check the software you depend on and avoid running code you haven’t reviewed. Always check and limit what kind of data can be sent in, set limits on how often things can be called (rate limits), and keep detailed logs of what happens. Review your setup often to catch problems early.

We Develop Custom MCP Servers

We can connect your legacy systems with MCP Servers to the latest AI models. We build and deploy custom Model Context Protocol (MCP) servers, enabling seamless integration between your existing APIs or databases and any modern AI platform.

Request a Consultation Browse ready to use MCP Servers

Request development of MCP Server

We specialize in MCP server development and can help you build your own MCP server. Our experienced development team is ready to create a tailored MCP server that integrates seamlessly with your existing systems. You don't need expertise in AI tools development – we'll securely connect your software to AI platforms for you. Additionally, if you need MCP server hosting support, we can host your MCP server in our robust infrastructure, eliminating the need for you to manage your own hosting resources.

support@flowhunt.io

Why choose us

Turnkey MCP Server Development

Our team combines deep expertise in legacy system integration, AI, and secure cloud/on-premises deployment to deliver end-to-end MCP server solutions that are reliable, scalable, and tailored to your needs.

1 Secure by Design: We don’t just auto-generate server code and hope for the best. Our MCP servers are built with strict authentication, permission checks, and activity logging from the start, ensuring sensitive functions are never left exposed.
2 Protected from Supply-Chain Threats: Unlike quick-start tools that pull unverified code from public sources, we vet every dependency and never run code blindly, eliminating the risk of hidden malicious packages.
3 Enterprise-Grade Reliability: Standard MCP libraries are often made for demos or prototypes. We deliver hardened, production-ready servers that can handle real-world workloads without compromising security or performance.
4 Hardened API Wrapping: Wrapping APIs can expose more attack surfaces. We implement strict input validation, enforce request rate limits, and more.
5 Tailored Deployment Options: Whether on-premises or in the cloud, our deployments are optimized for your infrastructure, integrating smoothly with legacy systems and modern environments alike.

Custom MCP Server Development?

Custom-Built for Your Needs: Every MCP server is designed to fit your unique business requirements, ensuring maximum compatibility and performance.
Legacy API & Database Access: Expose your existing APIs and databases to the latest AI models, unlocking new automation and intelligence capabilities.
Platform-Agnostic Integration: Connect to OpenAI, FlowHunt, or any other MCP-compatible client. Our solutions are built for flexibility and future growth.

How We Work

From initial consultation to deployment and support, we guide you through every step of the MCP server journey.

Consultation & Planning:: We analyze your current systems and requirements to design the optimal MCP server solution for your business.
Custom Development:: Our engineers build your MCP server, ensuring secure, reliable, and high-performance integration with your legacy systems.
Deployment & Integration:: We deploy your MCP server in your preferred environment—on-premises or in the cloud—and connect it to your chosen platforms.
Ongoing Support:: We provide maintenance, monitoring, and support to keep your MCP server running smoothly and securely.

MCP Servers for Any Platform

Our MCP servers are compatible with a wide range of AI and development platforms, including OpenAI, FlowHunt, and more.

OpenAI Platform: Connect your data and APIs to OpenAI's ecosystem using a secure, standards-compliant MCP server.
Development Editors & Tools: Enable seamless AI-powered features in your development environment with MCP server integration.
Custom AI Solutions: Leverage MCP servers to power bespoke AI workflows, automations, and analytics across your organization.

Ready to Modernize Your Legacy Systems?

Contact us today to discuss your MCP server project. Whether you need development, deployment, or both, our team is ready to help you unlock new value from your existing technology.

Custom MCP Server Development:: We design and build robust MCP servers tailored to your business needs, enabling secure and efficient access to legacy software APIs and databases for modern AI models.
Flexible Deployment:: Deploy MCP servers in your own infrastructure or let us handle secure hosting and management in the cloud. We support both on-premises and cloud-based solutions.
Seamless Integration:: Connect your MCP server to a wide range of platforms, including OpenAI, FlowHunt, development editors, and more. Our solutions are platform-agnostic and future-proof.
Legacy System Enablement:: Expose data and functionality from older software systems to the latest LLMs and AI tools, unlocking new value from your existing technology stack.

Frequently asked questions

: An MCP (Model Context Protocol) server acts as a bridge between legacy software APIs/databases and modern AI models, enabling secure, standardized access to data and functions.
: Yes, we offer both on-premises and cloud deployment options. Our team can handle the full deployment process or provide support for your IT team.
: MCP servers are platform-agnostic and can be used by any client supporting the protocol, including OpenAI, FlowHunt, and various development tools.
: Absolutely. We specialize in connecting legacy APIs and databases to MCP servers, making your data and functions accessible to new AI models.
: We offer ongoing maintenance, monitoring, and support packages to ensure your MCP server remains secure, up-to-date, and high-performing.
: There are some limited cases, such as quickly testing new ideas or building chat interfaces that need to stay connected, where wrapping an API for MCP with a standard library makes sense. But even then, it’s important to add strong security, clear version control, and good management. For most real-world uses, simply wrapping API with MCP library will not be efficient, often will generate too much overhead, and will not be secure enough. It’s better to build a custom MCP server that is tailored to your specific needs and can handle the complexities of your legacy systems.
: Start by making sure every endpoint requires a user to prove who they are and what they’re allowed to do. Use trusted identity systems and set clear rules for access. API key rotation and limited validity for access to MCP server should be a MUST. Regularly check the software you depend on and avoid running code you haven’t reviewed. Always check and limit what kind of data can be sent in, set limits on how often things can be called (rate limits), and keep detailed logs of what happens. Review your setup often to catch problems early.

Let us build your own AI Team

We help companies like yours to develop smart chatbots, MCP Servers, AI tools or other types of AI automation to replace human in repetitive tasks in your organization.

Schedule a demo Try it now

Learn more

MCP Server Creator

Integrate FlowHunt with the MCP Server Creator to automate dynamic server generation, manage resources, and export production-ready Python code. Streamline the ...

Aug 12, 2025 4 min read

AI MCP Server +4

AWS MCP Server Integration

Integrate FlowHunt with AWS MCP Servers to empower your AI agents and development workflows. Access up-to-date AWS documentation, automate cloud operations, and...

Aug 12, 2025 4 min read

AI AWS +4

Kubernetes MCP Server

Integrate FlowHunt with your Kubernetes and OpenShift clusters using the native MCP Server. Automate resource management, streamline DevOps workflows, and enabl...

Aug 12, 2025 4 min read

AI Kubernetes +4