
Kubernetes MCP Server
Integrate FlowHunt with your Kubernetes and OpenShift clusters using the native MCP Server. Automate resource management, streamline DevOps workflows, and enabl...
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.
Why choose us
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.
Every MCP server is designed to fit your unique business requirements, ensuring maximum compatibility and performance.
Expose your existing APIs and databases to the latest AI models, unlocking new automation and intelligence capabilities.
Connect to OpenAI, FlowHunt, or any other MCP-compatible client. Our solutions are built for flexibility and future growth.
From initial consultation to deployment and support, we guide you through every step of the MCP server journey.
Our MCP servers are compatible with a wide range of AI and development platforms, including OpenAI, FlowHunt, and more.
Connect your data and APIs to OpenAI's ecosystem using a secure, standards-compliant MCP server.
Enable seamless AI-powered features in your development environment with MCP server integration.
Leverage MCP servers to power bespoke AI workflows, automations, and analytics across your organization.
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.
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.
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.
Integrate FlowHunt with your Kubernetes and OpenShift clusters using the native MCP Server. Automate resource management, streamline DevOps workflows, and enabl...
Integrate FlowHunt with the MCP Server Creator to automate dynamic server generation, manage resources, and export production-ready Python code. Streamline the ...
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