Mcp Angular Client

Overview

The MCP Client is a web‑based front end that turns an MCP server into a fully interactive developer tool. It solves the problem of manually querying and manipulating MCP resources by providing an intuitive UI that handles discovery, connection, tool execution, CRUD operations, and real‑time monitoring—all without writing any client code. Developers can focus on building AI assistants while the client manages the low‑level protocol details.

At its core, the server discovers MCP endpoints and establishes a connection that is visualized in the Server Status panel. Once connected, the client exposes every tool defined by the server and allows users to execute them with parameter substitution directly from the browser. This eliminates the need for custom scripting or manual HTTP requests, making tool invocation as simple as clicking a button. The client also offers complete CRUD capabilities for all schema entities, allowing developers to create, read, update, or delete records through a familiar form‑based interface.

Key features include:

• Advanced filtering using the JSON‑API format, enabling precise queries such as “customers with credit_limit > 5000” or “orders from 2024”.
• Real‑time operations logging that displays status, timestamps, and payloads for every tool invocation or CRUD action.
• CORS proxy configuration to bypass cross‑origin restrictions when the MCP server is hosted on a different domain.
• Responsive UI that adapts to desktop and mobile browsers, ensuring developers can work from any device.
• Robust error handling that surfaces server responses and network issues in a user‑friendly manner.

Typical use cases involve building AI assistants that need to pull data, trigger external workflows, or send notifications. For example, a chatbot could request the client to run a “Send Email” tool for a selected customer, or an analytics assistant could filter and display high‑credit customers in real time. By integrating the client into a development pipeline, teams can prototype and test MCP interactions quickly, validate tool outputs, and iterate on AI prompts before deploying them in production.

The MCP Client’s architecture is modular: handles discovery, manages tool execution with parameter substitution, and provides filtered data access. All services are built on TypeScript interfaces that mirror the server’s schema, ensuring type safety and reducing runtime errors. With its extensible design, the client can be customized or extended to support additional features such as custom dashboards, advanced analytics, or integration with CI/CD pipelines.