Build custom MCP server using
your own data sources

An MCP (Model Context Protocol) server is a structured context layer that stores evolving memory and state. It enables systems, such as AI agents, to read from and write to shared memory, allowing for multi-step reasoning, task tracking, and coordination. While it’s most commonly used in LLM-based agent workflows, it can support any system that needs persistent, queryable context.

A remote MCP server is a standalone context endpoint that AI agents connect to over a network. Instead of managing memory internally, agents use this external server to read and write structured context, such as task state, history, or shared data.

When you build an MCP server in DronaHQ, it functions as a remote MCP server: fully scoped, hosted separately from the agent, and ready to plug into any system that supports MCP.

Most APIs, databases, and internal tools don’t have native support for shared memory or context. If you’re building AI agents or multi-step workflows on top of your own systems, you’ll need to expose a scoped MCP server yourself.

Yes. You can create separate MCP servers for different databases or APIs — each scoped to its own context and use case.

Yes. Once your MCP server is exposed, any agent that supports the MCP protocol or structured memory APIs can interact with it: reading current state, updating data, and performing multi-step reasoning based on live context.

DronaHQ gives you a fast, infrastructure-free way to expose your internal APIs or databases as scoped MCP servers. You can define queries, set access controls, and generate compliant endpoints in minutes, without writing backend code.

It’s ideal for tools that don’t support memory out of the box and need to integrate with AI agents or context-aware workflows.

If your agent framework supports MCP or structured memory endpoints, it can connect to MCP servers built on DronaHQ. You define exactly what data is exposed and how it’s accessed.

Add your data source, define your queries, and DronaHQ will expose a compliant MCP server endpoint: no backend setup or custom infra required.

Yes. DronaHQ gives you full control over what data is exposed and how it’s accessed. You define exactly which queries are available, and every MCP server includes built-in authentication and scoped access controls to keep your internal systems protected.

You can give AI agents real-time, structured access to your own systems, even if those systems weren’t designed for memory or agent workflows. Define scoped endpoints, control access, and integrate with any AI tool that supports context-driven actions.