Custom MCP servers
Servers over existing application APIs, data, resources, and workflows using the appropriate transport and deployment model.
MODEL CONTEXT PROTOCOL
Expose the right application capabilities to compatible AI clients.
CodeCradle builds Model Context Protocol servers and tool layers that expose approved resources, data, workflows, and application actions with authentication, authorization, testing, and operational control.
01Existing application
02MCP server
03Compatible AI client
Approved tools and resources preserve application permissions
08 / THE WORK
What this service is for.
MCP provides a standard way for compatible clients to discover and use tools, resources, and prompts offered by a server. Building a production server still requires application engineering. The server must map existing APIs and permissions into clear contracts, authenticate clients or users appropriately, limit actions, handle errors, version behavior, and be tested with the clients the organization actually intends to support. Compatibility depends on those clients and deployment choices.
A SOUND FIT
Start with the operating condition.
- 01
An application needs to expose tools or resources to MCP-compatible clients.
- 02
An internal system needs a controlled interface for agent use.
- 03
Existing APIs need safer, clearer contracts for model-driven calls.
- 04
A team needs authentication, authorization, testing, and deployment around an MCP prototype.
WHAT WE CAN BUILD
Concrete capability, not a vague transformation.
Tool and resource design
Narrow contracts, useful descriptions, validated schemas, predictable errors, and safe action boundaries.
Production integration
Authentication, authorization, tenant context, auditability, compatibility testing, versioning, and operations.
SYSTEM VIEW
The capability is only one part of the system.
Integration quality depends on the boundaries around it: identity, data, contracts, evaluation, failure behavior, and operational ownership.
01Existing application
02MCP server
03Compatible AI client
Approved tools and resources preserve application permissions
ENGINEERING POSITION
What matters in production.
Start from the application boundary
MCP does not replace sound APIs or authorization. We map capabilities that the underlying system can expose safely and predictably.
Keep tools narrow
A small, well-described action with validated inputs is easier for clients to select, execute, recover, and audit.
Test real compatibility
We verify behavior against the intended clients and deployment environment rather than claiming universal support across models or products.
ENGAGEMENT
A reviewable path into the work.
- 01
Inventory target clients, application APIs, resources, users, and actions.
- 02
Define tool contracts and the authentication/authorization model.
- 03
Build and test the server against representative tasks and failure cases.
- 04
Deploy with logs, version discipline, documentation, and operational ownership.
SERVICE QUESTIONS
Before you start.
01What can an MCP server expose?+
Depending on the application and client, it can expose resources for context, tools for approved actions, and reusable prompts. The exact surface should remain narrow and permission-aware.
02Does MCP work with every LLM?+
No. MCP support depends on the client or platform and its implementation. We validate the clients and deployment pattern required for the engagement.
03How are users authenticated?+
The answer depends on transport, hosting, client support, and application identity. We design authentication and authorization so the server does not bypass existing access rules.
04Can you turn an existing API into an MCP server?+
Yes, when the API exposes suitable capabilities. The work includes shaping model-usable tools, validation, permissions, errors, testing, and documentation rather than merely wrapping endpoints.
NEXT STEP
Bring us the system, workflow, or product that needs to change.
We’ll help define the smallest sound way forward, then build it with the surrounding software in view.