Production-ready infrastructure with multi-language support, OAuth2/OIDC authentication, and containerized deployment.
What we need from your existing infrastructure to build a seamless MCP integration.
Mandatory: OpenAPI/Swagger, gRPC proto definitions, or equivalent high-quality API documentation.
Mandatory: a structurally compatible database matching your API's data model for implementation and testing.
Optional, but required if you need support for complex non-CRUD operations. If not provided, we need functional definitions of your business logic.
Multi-language support with production-ready base templates for each stack.
We build your MCP server in one of the following production-ready languages:
Note: We do not implement MCP servers in Java, Kotlin, or Swift, but we can integrate with systems built in these languages.
Abstractions and helpers for common SQL databases:
Optional extension points for NoSQL databases and internal services.
We do not create one tool per REST endpoint. Strategic grouping improves AI model performance and discoverability.
AI clients start each connection with zero internal state. They discover capabilities only from the tool list and JSON Schema descriptions. Flooding them with dozens of granular tools degrades model performance and makes discovery fragile.
Group POST/PUT endpoints into update tools per functional domain. Example: customer_update, order_update.
Group GET endpoints into query tools. Example: customer_query handles "get by ID" and "list with filters" via parameters.
Create scoped delete tools per domain. Example: customer_delete for remove or deactivate operations.
Result: 3× efficiency
A domain with 5–6 REST endpoints becomes roughly 2 MCP tools—about one-third of the original number of interfaces.
For deeply nested composite structures (arrays, nested objects), we extract substructures as separate tools where it improves clarity. This maintains simple JSON Schemas and avoids overloading individual tools.
Containerized environment ready for Docker/Kubernetes deployment.
Main MCP server in your chosen language. Exposes HTTP and MCP protocol endpoints and connects to your databases and APIs.
Reference Keycloak container for OAuth2/OIDC flows. Demonstrates token issuance and validation, and can be swapped for any IdP via configuration.
Bundled official MCP Inspector app, preconfigured for your server. Think of it as "Swagger for MCP," with a web UI for manual testing.
HTML-based login form implementing the OAuth2/OIDC authorization code flow. Demonstrates a complete end-to-end authentication path.
Production-ready starting points with consistent architecture across all supported languages.
Minimal, production-ready HTTP server with routing and middleware.
OAuth2/OIDC, external token verification, and API key support.
Official SDK integration with baseline CRUD tool implementations.
PostgreSQL, MySQL, and MS SQL Server connectors and helpers.
These templates enable rapid project initialization with consistent security patterns, architecture decisions, and extension points across all supported languages.
A complete implementation package ready for production deployment.
Built on our base template in your chosen language. Mapped to your API specification and domain model, with intelligently grouped tools derived from your endpoints and business rules.
Example clients (CLI tools, backend scripts, or web UIs) demonstrating common use cases and best practices for consuming your MCP tools.
Complete explanation of grouping rules, tool semantics, JSON Schemas, extension guides, and deployment runbooks tailored to your environments.
Share your technical requirements and we'll respond with a tailored implementation plan.