MCP Server Development
We build custom Model Context Protocol servers and clients that connect AI models to your data, tools, and trading infrastructure. Whether you need an LLM to query live market data, trigger trades, or generate reports, we design and deploy the MCP layer that makes it possible.
What's included
- Custom MCP server and client development
- AI agent tool integrations and function calling pipelines
- LLM-connected data sources for trading and financial workflows
- MCP-based automation for signal generation and reporting
- Integration with existing infrastructure and broker APIs
- Secure, production-ready MCP deployments
How it works
Scoping
We map the tools and data sources your AI model needs to access, define the MCP interface, and confirm the security and integration requirements with you.
Build
We develop the MCP server and any client-side tooling, implement authentication and rate limiting, and connect it to your existing infrastructure.
Deploy & Integrate
We deploy the server to your cloud environment, connect it to your LLM workflow, and test end-to-end before handover.
Common questions
What is MCP and do I need it?
Model Context Protocol (MCP) is a standard for connecting AI models to external tools and data. If you want an LLM to query live data, trigger actions, or integrate with your trading infrastructure, MCP is the right layer.
Which AI models can you connect to an MCP server?
Any model that supports tool use via MCP including Claude, GPT-4o, GPT-5, Gemini, and most modern frontier models. We'll confirm compatibility with your specific setup during scoping.
How is the MCP server secured?
We implement authentication, input validation, and rate limiting as standard. For sensitive environments we can add IP allowlisting and audit logging.
Can you connect to my existing broker API or data feed?
Yes. We build MCP tools that wrap your existing APIs so your AI model can query them natively. Most standard broker and data APIs are straightforward to integrate.