Model Context Protocol

Make Your Data and Systems AI-Accessible

We build custom MCP servers that give AI agents governed access to your company's data, APIs, and workflows — on your terms, with your permissions, inside your infrastructure.

The Protocol

What is an MCP Server?

The Model Context Protocol (MCP) is an open standard that defines how AI agents discover and interact with external data and services. Companies run MCP servers to expose their systems — databases, APIs, internal tools — in a way that AI clients like Claude can understand and use safely.

A custom MCP server is the layer you own and control. It defines what agents can see, what they can do, and what requires explicit permission. You get the productivity of AI acting on your systems without giving up governance or security.

Services

What We Build

Proprietary Data Exposure

Surface your databases, documents, and internal knowledge stores so AI agents can query them in real time — without moving or copying your data.

API & Service Wrapping

Wrap your existing APIs and internal services in a structured MCP interface so any compliant AI agent can discover and call them safely.

Action & Workflow Servers

Let AI agents trigger real business processes — approvals, notifications, record updates — through a controlled set of exposed tools.

Governed Access Layers

Define exactly what agents can see and do. Role-based permissions, scoped tool access, and full audit logging so you stay in control.

Knowledge & Retrieval Servers

Expose your internal documentation, past projects, and institutional knowledge so agents return accurate, sourced answers — not guesses.

Multi-Agent Coordination

Build servers that support multiple agents operating on your systems simultaneously, with context sharing and conflict resolution handled at the protocol level.

Process

How It Works

01

Discovery

We audit your existing systems, data sources, and the agent use cases you want to support. We define what gets exposed, to whom, and under what constraints.

02

Architecture

We design the MCP server's tool and resource surface — what agents can call, what they can read, and what stays off-limits — along with auth flows and data contracts.

03

Build & Test

We build and test your server against real agent interactions, covering edge cases, permission boundaries, error handling, and security posture before any deployment.

04

Deploy & Support

We ship to your environment, document the full tool surface for consuming agents, and provide a support window to cover early adoption and iteration.

Why Us

Why Exo Technologies

We're practitioners, not packagers.

We build on the MCP spec directly — no wrapper frameworks, no bloat. You get a server tuned to your stack, not a generic template.

We move fast.

Most MCP servers are scoped, built, and deployed within 2–4 weeks depending on complexity. We don't over-engineer timelines.

Security is not an afterthought.

Every server we build includes proper authentication, scoped permissions, and logging from day one. We've worked in regulated and high-stakes environments.

We speak both languages.

Our team bridges technical depth with business context. We'll work with your engineers on implementation and your leadership on use case prioritization.

Use Cases

Real-World Applications

Operations

A logistics company builds an MCP server over their order management system. Third-party AI agents can now query shipment status, flag delays, and trigger reroutes — with full audit trails and no direct database access.

Sales & CRM

A B2B SaaS company exposes Salesforce and their data warehouse through a governed MCP server. AI agents can read deal history and update pipeline stages, scoped strictly to what each agent is authorized to touch.

Internal Knowledge

A professional services firm surfaces internal documentation and project archives via MCP. AI agents can retrieve and cite from proprietary knowledge without it ever leaving the firm's infrastructure.

Ready to open your systems to AI agents — on your terms?

Tell us about your data and the agents you want to support. We'll set up a scoping call within 24 hours.