Connect Your AI to Everything Your Business Runs On
Your AI needs to talk to your CRM, databases, APIs, and tools. MCP servers are the secure, auditable bridge — built to enterprise standards, deployed on your infrastructure.
What Is MCP?
Think of MCP as a universal adapter between AI and your business tools. Just like USB-C lets any device connect to any charger, MCP lets any AI agent securely connect to any of your systems.
It lets AI agents securely read data, trigger actions, and work with your systems — with full audit trails. Every action is logged. Every connection is authenticated.
MCP is an open protocol published by Anthropic and adopted across the AI industry. We build servers that implement it at enterprise grade — so your AI has safe, controlled access to everything it needs to be useful.
How It Connects
Why You Need MCP Servers
AI without system access is a sophisticated search engine. MCP servers are what turn it into a productive member of your team.
AI That Actually Does Things
Most AI is read-only — it answers questions. MCP servers give AI the keys to act: update records, trigger workflows, call APIs, and complete tasks inside your real systems.
Enterprise Security Built In
Every connection is protected by OAuth 2.1 with DPoP token binding. Every action is logged with full audit trails. Security and compliance are protocol-level guarantees, not afterthoughts.
Works With What You Have
No ripping out your stack. MCP servers sit on top of your existing CRM, databases, and APIs. If your tools have an API, we can connect them — without rebuilding anything.
Scales With You
Multi-tenant architecture with per-tenant isolation means one deployment serves your whole organization. Production-grade from day one, from pilot to enterprise rollout.
Built on TurboMCP
Every MCP server we ship is built on TurboMCP, our production-grade open source Rust SDK — the most complete MCP implementation available.
Full MCP 2025-11-25 Specification
Not partial compliance — every primitive in the spec, production-tested. This matters when your AI needs to do more than just read data.
Security Architecture
Security is not a feature layer — it is built into the protocol primitives.
What You Can Connect
If it has an API, we can build a secure MCP server for it. Here is where we see the most business impact.
API Access for AI
Give AI agents authenticated, rate-limited access to any REST or GraphQL API your business relies on.
Knowledge Base Access
Connect AI to your internal documentation, wikis, and knowledge repositories with semantic search.
Tool Integration
Integrate with dev tools, ticketing systems, project management platforms, and internal utilities.
System Automation
Trigger automated workflows, update records, and orchestrate multi-step business processes.
Third-Party Services
Connect Salesforce, HubSpot, Jira, Slack, and hundreds of other SaaS tools your team already uses.
Secure Data Retrieval
Controlled, auditable access to sensitive data stores — every read logged, every access scoped.
Technologies
How It Works
Three phases from discovery to production. Fast, structured, and transparent throughout.
Discovery & Integration Mapping
We audit your existing systems and APIs, identify where AI action creates the most value, and design a secure connection architecture tailored to your infrastructure.
- System inventory
- Integration spec
- Security framework
- ROI estimate
Build & Secure
We build your MCP servers on TurboMCP, implement OAuth 2.1 authentication, scope every tool precisely, and write comprehensive tests. You see working demos throughout.
- MCP server suite
- Auth configuration
- Tool definitions
- Test coverage
Deploy & Monitor
Production deployment to your infrastructure — cloud or on-premises. Real-time monitoring, audit dashboards, and runbooks so your team stays in control.
- Production deployment
- Monitoring setup
- Audit dashboard
- Team runbooks
Frequently Asked Questions
The questions we hear most before people reach out.
What is MCP, and why does it matter?
MCP (Model Context Protocol) is an open standard — similar to how USB-C is a universal connector — that defines how AI agents securely communicate with external systems. Without it, every AI-to-tool integration requires custom, one-off code. With MCP, any compliant AI client can use any MCP server. It matters because it turns AI from a chat interface into an active participant in your business operations.
How secure is it?
Security is protocol-level, not bolted on. Every connection uses OAuth 2.1 with DPoP (Demonstration of Proof of Possession), which cryptographically binds tokens to specific clients — blocking token theft even if a credential is intercepted. Every tool call is scoped to least privilege, and every action is written to an immutable audit log. This meets the bar for regulated industries.
How long does it take to implement?
Most engagements go from initial call to a working production server in two to four weeks, depending on the number of integrations. Complex multi-tenant deployments with many tool surfaces typically run four to six weeks. We ship working demos early so you see progress throughout, not just at the end.
What systems can you connect?
Anything with an API — which today means virtually every business system. We have patterns for REST APIs, GraphQL, databases (Postgres, MySQL, Mongo), message queues, file systems, and major SaaS platforms including Salesforce, HubSpot, Jira, GitHub, Slack, and more. If you use it and it has an API, we can connect it.
Schedule Your Free Strategy Session
We will map your systems, identify which integrations drive the most value, and show you exactly what we would build — before you commit to anything.
Book Your Free Session