// services/mcp
Connect any model to any system
We design and ship MCP servers that expose your products, APIs and internal tools to every major AI client — secure, typed and versioned, so agents can use your software safely.
// the_problem
Model Context Protocol, done right
Every AI client now speaks MCP, and users expect assistants to operate real software — not just chat about it. Exposing your product over MCP multiplies its surface area into every agent on the internet, which makes correctness, auth and safety non-negotiable.
// deliverables
What we hand over
MCP server implementation
A production server exposing your core operations as typed tools and resources, with tests and documentation.
Security & identity layer
OAuth-based authorization, per-tool consent scopes, audit logging and abuse limits so exposure never becomes liability.
Distribution & adoption kit
Registry listings, install guides, example prompts and demo flows that make your integration easy to discover and use.
- Custom MCP server design and implementation
- Tools, resources and prompts for your domain
- Auth, scoping and rate limiting per client
- Streaming and async operation support
- Publishing to MCP registries
- Client integration: Claude, Cursor, ChatGPT and more
// faq
Questions we hear a lot
What is MCP in one paragraph?
The Model Context Protocol is an open standard — originally created by Anthropic, now industry-wide — that lets AI applications connect to external tools and data through a uniform interface. Build one MCP server and every compliant AI client can use it.
Should we build MCP support or wait?
If your users ask assistants to 'do things' in your product, the answer is already yes. Early movers define their category's tool surface; waiting means an ecosystem forms around someone else's integration.
Can you integrate our legacy internal APIs?
Yes. Much of our MCP work is wrapping existing REST, SOAP or database-layer functionality behind clean, well-described tools with sensible granularity.