Integration audit and design
We map the systems your assistant needs, which operations are read versus write, and where the risk sits. You get a server design before any code is written.
005Model Context Protocol (MCP)
MCP servers that connect AI assistants to your systems
The Model Context Protocol (MCP) is the open standard that lets AI assistants like Claude read your data and act inside your tools. We design and build custom MCP servers that expose your databases, APIs, and internal workflows to LLMs with the access controls your security team expects. For CTOs and product leaders who want AI working against real company context, not generic answers.
AI005
What we build
What an MCP engagement includes
A production MCP server is more than a wrapper around your API. We cover the full path from integration design to deployment and monitoring.
Custom MCP server development
We build servers that expose your data sources and internal APIs as MCP tools and resources, with schemas an LLM can actually use reliably.
Authentication and access control
OAuth flows, per-user permissions, and scoped tokens so the assistant only sees what the person driving it is allowed to see.
Tool design for reliability
Tool naming, descriptions, and response shaping tuned so the model picks the right operation and handles errors sanely. This is where most MCP projects quietly fail.
Deployment and hosting
Local servers for desktop use or remote servers behind your infrastructure, containerized and wired into your existing CI/CD and logging.
Testing and evaluation
Automated test suites that exercise every tool, plus evaluation runs that measure how well the model uses the server on realistic tasks before your team depends on it.
How we work
From use case to running server
(4)- 1
Scope the use case
We start with what your users or employees actually need the assistant to do, then work backward to the minimum set of tools and data sources required.
- 2
Design the tool surface
We specify each tool, its inputs, its outputs, and its failure modes, and review the design with your engineers before implementation.
- 3
Build and test
We implement the server, wire authentication, and run it against real prompts and edge cases until tool selection and error handling hold up.
- 4
Deploy and hand over
We ship the server into your environment, document how to extend it, and train your team so adding the next tool does not require calling us back.
