Connect your internal systems, APIs and data to AI assistants like Claude, ChatGPT and Copilot through the Model Context Protocol — built and secured around how your business actually works.
What Is MCP, In Plain Terms
The Model Context Protocol (MCP) is an open standard that lets an AI assistant securely reach outside of its own training — into your approved tools, data and systems — instead of you copying information into a chat window or building a one-off integration for every AI tool your team adopts. One MCP server gives every MCP-compatible assistant the same secure way in.
What We Build
Custom MCP Servers for Your Systems : We build MCP servers that expose your internal APIs, databases and business tools to approved AI assistants, so an agent can look up real data and take real action instead of guessing.
MCP Server Customization & Extension : Already running an open-source or third-party MCP server? We extend and adapt it to your data model, authentication and workflow instead of forcing your systems around someone else's defaults.
MCP Integration Into Your Product : Building a SaaS platform or internal tool? We add MCP connectivity so your own users can plug their AI assistant directly into your product.
Secure, Governed Access : Every MCP server we build enforces the same authentication, access control and audit boundaries your systems already require — nothing is exposed to an AI assistant that wouldn't be approved for a human user.
Where This Helps
Internal knowledge and documentation search • CRM and ERP data lookups from an AI assistant • customer support tools that need live account data • developer and internal platform tooling • reporting and analytics assistants • connecting AI copilots to legacy systems.
The Technology Behind It
Model Context Protocol (MCP) SDKs — TypeScript, Python, .NET
Claude, ChatGPT, Copilot and other MCP-compatible assistants
OAuth, API-key and enterprise SSO authentication
Azure AI and Azure API Management
REST and GraphQL API integration
Role-based access control and audit logging
Have systems or data an AI assistant should be able to work with securely? Let's scope the MCP server.
Common questions about building and customizing Model Context Protocol servers.
MCP (Model Context Protocol) is an open standard that lets AI assistants securely connect to external tools, data and systems. Instead of building a separate integration for every AI tool your team adopts, one MCP server gives any MCP-compatible assistant the same secure, approved way to reach your systems — internal APIs, databases, documentation and business tools.
Yes. We build custom MCP servers that expose your internal APIs, databases and business tools to approved AI assistants — scoped to exactly what should be accessible, nothing more.
Every MCP server we build enforces the same authentication, access control and audit boundaries your systems already require. An AI assistant only sees and does what a properly scoped human user would be allowed to — access is explicit, not implicit.
MCP is an open standard, so a server we build can work with any MCP-compatible assistant — including Claude, ChatGPT and Copilot — as well as custom AI agents built on the protocol.
Yes. We integrate MCP connectivity directly into SaaS platforms and internal tools, so your own users can connect their AI assistant to your product through a secure, well-defined interface — instead of you building and maintaining separate integrations per AI tool.
Both. If you're already running an open-source or third-party MCP server, we can extend and adapt it to your data model, authentication and workflow rather than starting over with a full rebuild.