We build the Model Context Protocol infrastructure that connects AI agents directly to your internal tools, APIs, and data — in weeks, not quarters.
We handle the entire integration — from auditing what you have to handing off a tested, documented MCP layer your team can own.
We map your existing internal APIs, tooling, and data sources. We identify the highest-value surfaces for AI access — not every endpoint, the right ones.
We design and implement your MCP layer — tool schemas, authentication, access control, error handling. Built to production standards, not proof-of-concept quality.
Fully tested, documented, and handed to your engineering team. Optional retainer to expand coverage as your tooling evolves.
Every company is buying AI. Almost none of them can actually use it on their own data. The missing piece isn't the model — it's the connection layer between the model and the systems that run the business.
Model Context Protocol is the open standard solving this. Backed by Anthropic and now adopted across the industry, it's the USB-C of AI integration. We specialize in it so your team doesn't have to.
Fast scoped sprints or a longer-term integration partnership — depending on how deep your stack goes.
We come in, audit your APIs, and ship a production-grade MCP server in two weeks. Scoped, fixed-price, fully handed off. Best for teams with clear API documentation and a defined use case.
We maintain and expand your MCP layer as your tooling evolves — adding new tools, updating schemas, handling auth changes. Ideal for companies with rapidly changing internal systems.
Pre-built MCP servers for common enterprise stacks — Salesforce + Jira, SAP + ServiceNow, and others. Deployed and configured for your instance in days, not weeks.
30-minute discovery call. We'll audit what you have and tell you exactly what an integration sprint would look like — no commitment required.