An MCP website recommendation & Demo verification

Written by
Caleb Hayes
Updated on:July-11th-2025
Recommendation

Explore new paths for AI model integration and learn how MCP simplifies development and promotes the development of the technology ecosystem.

Core content:
1. Challenges and costs of AI model integration
2. The impact of MCP open standards on the ecosystem
3. MCP service directory site recommendations and actual application cases

Yang Fangxian
Founder of 53AI/Most Valuable Expert of Tencent Cloud (TVP)

Pain points of integrating AI models

Complexity and integration costs : Embedding AI models into existing systems or third-party systems often requires a lot of customized development, which is complex and error-prone.

The significance of MCP open standards

Importance of an open ecosystem : As an open standard, MCP's openness helps form a good ecosystem and promote the continuous development of technology and products.



1. Recommend MCP service directory site

https://www.pulsemcp.com/

2. Retrieve a RAG site MCP service

3. Server

https://github.com/graphlit/graphlit-mcp-server

4. Client source code demo

https://github.com/graphlit/graphlit-samples

5. Compare the documents

PS: In conclusion, there are more and more MCP clients, and various services are as convenient as using large models, such as RAG knowledge base services, code services, etc. At the current level, a batch of middleware support will be released soon, so stay tuned.