Pocha MCP Server

Pocha MCP Server

The Pocha MCP Server is a specialized Model Context Protocol service that automates the creation of type‑safe TypeScript API client functions for the Pocha project. In modern web applications, developers often spend significant time writing boilerplate code to interact with REST endpoints—defining request URLs, handling authentication headers, parsing responses, and wiring error handling. Pocha’s MCP server eliminates this repetitive work by generating ready‑to‑use functions based on a concise JSON specification. This enables developers to focus on business logic while ensuring that every generated function adheres to a consistent pattern and fully typed contracts.

What Problem Does It Solve?

When building client applications against a rapidly evolving API, keeping the HTTP layer in sync with backend changes is challenging. Manual updates can introduce subtle bugs such as mismatched parameter names, incorrect return types, or missing authentication handling. Pocha’s MCP server addresses this pain point by providing a single source of truth: the JSON schema that describes an API endpoint. Any change to the schema automatically propagates to a new, correctly typed function, reducing human error and speeding up integration cycles.

Core Functionality

The server exposes a single tool, , which accepts details such as function name, route template, HTTP method, optional parameters, and the expected return type. Upon invocation, it produces a fully documented TypeScript function that:

• Constructs the request URL with template interpolation.
• Attaches an header using a bearer token supplied by the caller.
• Executes the HTTP request via a shared client instance.
• Parses and returns typed response data or throws a descriptive error.

Because the generated code is type‑safe, IDEs can provide autocomplete and compile‑time validation, preventing runtime failures due to incorrect payload shapes.

Key Features & Capabilities

• Method Support: Handles all common REST verbs (GET, POST, PUT, DELETE) with minimal configuration.
• Type Inference: Allows explicit return types and optional parameter typing, ensuring the generated function matches API contracts.
• Authentication Handling: Automatically injects bearer tokens into request headers, simplifying secure endpoint access.
• Error Management: Wraps network calls in try/catch blocks and rethrows errors with context‑rich messages.
• Extensibility: Built on the MCP TypeScript SDK and Zod schema validation, making it straightforward to add new features or custom middleware.

Real‑World Use Cases

• Rapid Prototyping: Quickly spin up client stubs for new Pocha endpoints during feature development or QA testing.
• Continuous Integration: Integrate the MCP server into CI pipelines to regenerate client code whenever API contracts change, ensuring downstream services stay up‑to‑date.
• Developer Onboarding: New team members can generate API functions from natural language prompts in the Cursor IDE, lowering the learning curve for interacting with Pocha’s backend.
• Documentation Generation: The same schema used to generate code can feed into documentation tools, keeping docs and client code in sync.

Integration with AI Workflows

Pocha’s MCP server is designed to be invoked by AI assistants via the Model Context Protocol. A developer can simply ask an assistant, “Generate a POST endpoint for creating a new Pocha event,” and the assistant will translate that request into the appropriate JSON payload, send it to the MCP server, receive the generated TypeScript function, and insert it into the project. This seamless loop—natural language → MCP request → typed code—dramatically accelerates development and reduces boilerplate.

Standout Advantages

Unlike generic API generators, Pocha’s MCP server is tightly coupled with the project’s domain model. It enforces consistent naming conventions, embeds authentication logic out of the box, and supports optional parameters in a way that mirrors real API usage. By leveraging MCP’s declarative interface, it fits naturally into modern AI‑augmented development environments such as Cursor, making it a powerful tool for teams that want to blend human creativity with automated code generation.