By 2025, the MCP protocol has become key infrastructure for the implementation of AI agents. Tech giants (such as Microsoft and Anthropic) continue to promote its standardization, and it is expected to further penetrate fields such as industrial design and marketing automation.

The following is a roundup of the most popular AI MCP (Model Context Protocol) tools and servers expected in 2025, based on development efficiency, application scenarios, and community recognition:

 

I. Core MCP Tools

GitHub MCP Server: An enterprise-grade tool officially launched by GitHub, supporting repository management, issue automation, and cross-organizational search, significantly improving development efficiency (one e-commerce case demonstrated a 25% efficiency increase).

Playwright MCP: A browser automation tool from Microsoft, suitable for web testing and data extraction, supporting large-scale UI automation processes.

Memory MCP: A knowledge graph-based persistent memory system that improves team collaboration efficiency (accelerating new team member onboarding by 40%).

 

II. Vertical MCP Servers

Twitter MCP: A powerful social media automation tool supporting posting, public opinion monitoring, and data analysis. Lightweight deployment requires only an API key.

LinkedIn MCP: Automate workplace scenarios such as job posting and candidate screening through Zapier integration.

Blender MCP: Automates text-to-3D model rendering, with a typical example being Claude AI controls Blender to generate 3D content using MCP

 

III. Developer Ecosystem

Filesystem MCP: Enterprise-level file management with secure access control

Fetch MCP: Simplifies web crawling and improves AI information processing efficiency

Git MCP: Resolves AI "hallucination" issues in large code bases, improving search efficiency by 70%