Connect Your Systems to AI Assistants Safely
MCP (Model Context Protocol) is the open standard that lets AI assistants securely use your tools, read your data, and call your APIs. We build custom MCP servers that expose your internal systems to Claude, ChatGPT, and agent frameworks — with scoped access and security built in.
Trusted by innovative teams worldwide
Custom MCP Servers, Built End to End
MCP is how AI assistants reach the outside world. We design and build the server that decides exactly what an assistant can see, do, and never touch.
Tools, Resources & Prompts
MCP exposes three things to an AI: tools (actions the assistant can run), resources (read-only data it can pull), and prompts (reusable templates). We design each one around your real workflows so the assistant does useful work, not guesswork.
Connect Internal Tools & APIs
We wrap your databases, REST/GraphQL APIs, internal services, and SaaS tools as MCP servers — so Claude or ChatGPT can query records, trigger jobs, and pull live data without anyone hand-copying it into a chat window.
Transport: stdio, HTTP & SSE
MCP servers talk to clients over a transport. We pick the right one — stdio for local desktop apps and IDEs, streamable HTTP or Server-Sent Events (SSE) for remote, multi-user deployments — and wire it up correctly.
Auth, Scoping & Secrets
We give each assistant the narrowest access it needs: scoped permissions, OAuth or token-based auth, read-only vs. write boundaries, and secrets kept server-side so credentials never leak into the model or a prompt.
Testing & Validation
We test MCP servers with the MCP Inspector and automated suites — verifying every tool behaves predictably, handles bad input safely, and returns clean, well-shaped responses the assistant can actually use.
Hosting & Deployment
We deploy MCP servers wherever they belong — packaged for local use, containerized for your cloud, or hosted as a remote HTTP endpoint with logging, rate limits, and health checks for production traffic.
Want Your AI Assistant to Actually Use Your Systems?
Book a free 30-minute MCP scoping call — we'll map which tools and data are worth exposing, and how to do it safely.
An MCP server is the safe doorway between your data and an AI assistant.
Instead of pasting data into chats or building one-off plugins, you build one MCP server. Any compatible assistant — Claude Desktop, an IDE, or your own agent — connects through it, under rules you control.
MCP Servers Grounded in Engineering Reality
Connecting an AI assistant to live systems is a security decision as much as a technical one. We treat it that way from the first line of code.
Why Teams Choose Us for MCP Server Development
MCP is new, but the engineering behind it — APIs, auth, transports, and safe data access — is what we have done for years.
Tell Us What You Want Your AI to Reach
Describe the systems, tools, or data you want an assistant to use — our engineers will outline an MCP approach within 24 hours.
Our Engagement Process
Discovery & Scoping
We map which systems, tools, and data are worth exposing — and which must stay off-limits. The output is a clear list of tools, resources, and access boundaries before any build starts.
Design & Security Model
Tool schemas, resource definitions, transport choice (stdio, HTTP, or SSE), auth model, and scoping rules — documented and approved so there are no surprises about what the assistant can do.
Build the MCP Server
We implement the server against the MCP spec — tools, resources, prompts, auth, and secret handling — wiring it into your real APIs and databases with proper error handling.
Test & Validate
MCP Inspector runs, automated test suites, and trials against real clients like Claude Desktop and IDEs. We verify every tool behaves safely under good and bad input alike.
Deploy & Support
We deploy locally, to your cloud, or as a hosted remote endpoint with logging and rate limits — then provide 6 months of support as your systems and the spec evolve.
Insights from
Our Consultants
Frequently Asked Questions
An MCP server is a small program that connects AI assistants to your tools, data, and APIs using the Model Context Protocol — an open standard. MCP server development means building that server so assistants like Claude or ChatGPT can securely run actions, read data, and call your systems through one controlled doorway you define.
