Point it to your API
We start from an OpenAPI specification or the endpoints already in production.
Mattear · Agent integration
MCP serversfor your APIs
Turn your existing APIs into MCP servers in days, not months. Your services become available to AI agents with security and permissions under your control.
No backend rewrite · Multi-LLM · In your infrastructure
Illustrative example
Your APIOpenAPI · endpoints
MCP Servertools · auth · permissions
✓ 12 endpoints detected
✓ MCP tools generated
✓ authentication configured
→ ready for AI agents
✓ MCP tools generated
✓ authentication configured
→ ready for AI agents
How it works
A standard layer between your systems and agents.
MCP Starter takes the APIs you already operate and publishes their capabilities as tools models can invoke. Your services remain unchanged—no rewriting required.
We detect operations
We automatically identify the service’s available capabilities.
We generate MCP tools
Each operation is exposed as a tool that agents can invoke.
We configure security
We apply authentication and granular permissions under your control.
Key capabilities
One integration for your entire AI stack.
Tested with ChatGPT, Claude, and Perplexity, and ready to add new interfaces without redoing the work.
From OpenAPI to MCP
Fast transformation of existing APIs into agent-ready tools.
Compatible with leading LLMs
ChatGPT, Claude, and Perplexity, with GitHub Copilot on the roadmap.
Granular permissions
Fine-grained control over which operations each agent can execute.
No backend changes
Your services keep their architecture; only the MCP layer is added.
Reusable standard
One integration available across different models and experiences.
Agent economy
Your systems become ready to be discovered and used by assistants.
Deployment and security
Your data stays in your environment.
The server runs within the client’s own infrastructure. Access control, permissions, and data remain on your side.
Delivery model
Sized for your infrastructure.
The implementation is designed for your chosen cloud and architecture, with scope aligned to priority APIs and use cases.
Frequently asked questions
What is MCP?
Model Context Protocol (MCP) is a protocol for connecting AI applications to tools and data sources. MCP Starter exposes API operations as tools an agent can invoke.
Do I need to replace my APIs?
No. We start with an OpenAPI specification or existing endpoints and add an MCP layer. During the assessment we review the operations and permissions for each integration.
Where is it deployed and how is the scope defined?
The server is deployed in the client’s infrastructure. Scope depends on the APIs, architecture, and priority use cases, starting with a focused pilot.
Next step
Let’s make your APIs talk to agents.
We select an API and a high-value use case, validate its specification, and build a secure pilot within your infrastructure.
- ✓ Initial technical assessment
- ✓ Focused pilot
- ✓ Phased scaling