Phase 1: SSE Proxy Layer and Centralized MCP Service Registry System

1.SSE Proxy Layer Implementation

Develop a lightweight proxy service to convert Stdio communication to SSE communication

The lightweight proxy service will seamlessly convert MCP services in the existing Stdio mode into HTTP-based SSE (Server-Sent Events) communication. Acting as a communication bridge, the proxy layer launches Stdio-mode MCP processes on the server side, capturing their standard input/output streams via pipes, while externally providing an SSE interface for client connections. The proxy service also handles session management, client request routing, error recovery, and resource cleanup, ensuring that even traditional MCP tools designed for local communication can operate reliably in a networked environment. This conversion allows existing MCP service providers to adapt to the market platform quickly without modifying their core code, while users can access various MCP functionalities through a unified network interface.

Enable existing MCP services to join the network ecosystem without code changes

By developing smart proxy layer technology, we ensure that existing MCP services can directly integrate into the market platform without altering their underlying code. The proxy layer automatically identifies and adapts to the communication patterns, parameter formats, and workflows of various MCP services, providing them with a unified network interface. MCP developers only need to register their standard Stdio-mode services, and the system will automatically generate necessary conversion configurations, including input mapping, output parsing, and special command handling. This “plug-and-play” integration approach significantly lowers the technical barriers to joining the ecosystem, allowing developers to focus on enhancing their service’s core functionality without worrying about the complexities of protocol conversion. For users, all services offer a consistent interface experience, regardless of their underlying implementation.

Add traffic control and request limiting features

The proxy service implements a multi-tiered traffic control mechanism to ensure system stability and fair resource allocation. At the global level, it employs a token bucket algorithm for request rate limiting, setting a maximum number of requests per second for the entire system. At the user level, it supports identity-based differentiated throttling strategies, providing resource quotas tailored to subscription tiers. At the service level, it configures concurrency limits and requests queue depths for each MCP service individually. The system also features adaptive throttling, automatically adjusting limits when server overload is detected to prevent system crashes.

2.MCP Service Registry System

Create a centralized MCP service registration platform

Design a unified MCP service registration platform with an intuitive web interface and API support, enabling service providers to independently register, update, and manage their MCP services. The platform implements an automated validation process to ensure all registered services meet technical and security standards. It stores detailed service metadata, including functional descriptions, version information, sample inputs/outputs, and usage documentation, facilitating user discovery and selection of appropriate services.

Implement simple service health checks and monitoring

Build an automated health check system that periodically sends heartbeat requests to MCP services and verifies responses. Collect multi-dimensional monitoring metrics, including response time, error rates, and resource usage. Provide a real-time status dashboard displaying service availability, performance trends, and alert notifications. Support custom alert thresholds, automatically triggering notifications and self-healing mechanisms when service performance degrades, ensuring overall platform stability.

Develop a basic scoring and evaluation system

Implement a multi-dimensional evaluation framework, allowing users to rate MCP services with stars and written reviews. The system supports categorized ratings for security, performance, reliability, ease of use, and value, calculating an overall score. Anti-manipulation measures ensure review authenticity, while usage statistics are integrated to generate automated trustworthiness metrics. Service providers receive an evaluation analysis dashboard to understand user feedback and improve service quality.