Services

Model Context Protocol

Connect AI agents to the software your business already runs.

Gorilli designs and implements production-ready MCP servers for existing APIs, databases, SaaS platforms, and internal tools. We add a secure agent interface to your stack without replacing the systems, permissions, and business logic that already work.

Discuss your MCP integration

What you get

An agent interface built for your real architecture.

  • A production-ready MCP server built around your existing systems and workflows
  • Tools and resources with clear schemas, reliable errors, and agent-friendly responses
  • Authentication, authorization, auditability, and deployment designed for real operations

What we connect

MCP for the systems your team already depends on.

  • Internal and public APIs
  • PostgreSQL and business databases
  • CRM, ERP, and support platforms
  • Knowledge bases and document systems
  • Developer tools and cloud infrastructure
  • Custom SaaS products and admin workflows

Process

  1. 01

    Map the actions, data, permissions, and agent use cases that create business value

  2. 02

    Design MCP tools and resources around stable contracts in your current architecture

  3. 03

    Implement, test, deploy, and observe the integration in a production environment

Why Gorilli

  • Full-stack experience across APIs, data models, authentication, cloud, and AI applications
  • Built Storm, an MCP tool marketplace that won second place at the AI Blueprints hackathon
  • Product-led delivery: we design for useful agent workflows, not protocol compliance alone

Frequently asked questions

What is an MCP server?
An MCP server exposes tools, resources, and prompts through the Model Context Protocol so compatible AI agents can discover and use them through a standard interface.
Can MCP be added to an existing application?
Yes. We normally build the MCP layer around existing APIs, services, databases, and permission models. The goal is to make the current stack agent-accessible without an unnecessary rewrite.
How do you secure an MCP integration?
We apply the same controls used in production software: scoped authentication, authorization at the tool and resource level, input validation, rate limits, logging, audit trails, and approval steps for sensitive actions.
Which MCP clients and AI platforms can you support?
We design against the open protocol and validate the integration with the clients relevant to your use case. That can include desktop assistants, coding agents, internal AI products, or a custom agent interface.
Do you only build the MCP server?
No. Gorilli can handle the surrounding API work, data access, authentication, agent workflow, user interface, deployment, monitoring, and ongoing product development when the project needs an end-to-end team.

Next step

Give your agents secure access to the work that matters.

Tell us which systems you want to expose and what agents should be able to accomplish. We will help define the safest, shortest path to production.

Start an MCP project