"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."

MCP Server Development

Unlock the power of your legacy systems by connecting them 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.

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Turnkey MCP Server Development

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

Standard MCP Libraries Can Lead to Insecure Implementations

Standard libraries designed to auto-generate server code for OpenAPI or GraphQL often don’t include the strong security features needed for real-world use. Most of these tools are built for demos or quick prototypes, not for the secure, reliable systems that businesses need. If you use these libraries to build MCP servers, you might end up exposing sensitive functions without proper protections.

One big risk comes from running code pulled straight from public sources. Tools like NPX or UVX let developers run packages directly from npm, and Python’s pip does the same. This can lead to running code that hasn’t been properly checked, making it easy for attackers to sneak in harmful software. Both NodeJS and Python have seen attackers add dangerous code to popular packages, sometimes going unnoticed until real damage is done.

Key server-side protections—like checking user identities, controlling who can do what, and tracking activity—often get missed or added too late. Many of these auto-generated servers don’t check who is calling them or what permissions they have, leaving important functions wide open. Without good IT rules for things like logs, access, and permissions, a simple mistake or attack can give the wrong people access to sensitive data or controls.

Wrapping APIs also increases the risk of attack by exposing more of your systems to the outside. Weak input checks, missing protections against bad data, and no limits on how often someone can call the API are just a few examples of how things can go wrong. Relying on standard libraries alone usually isn’t enough to keep your systems safe.

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.

Explore all features

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

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.

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