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Real world lessons from building MCP servers
- MCP servers are widely used in tools like Claude Desktop, ChatGPT, Cursor, Cline, Postman, etc., allowing developers to integrate them for various purposes.
- Knowing the main components like Tools, Resources, and Prompts is crucial for efficient implementation and to save time.
- Understanding Transports is essential, with options like stdio, SSE, and Streamable HTTP, each serving different deployment models.
- Utilizing a good library like FastMCP simplifies python-based MCP development.
- OpenAI Responses API and Google's Agent SDK are making strides in supporting MCP servers for diverse tasks.
- Differences in client tools' support for the MCP spec can lead to confusion, impacting the seamless integration of servers.
- Remote MCP server support for passing environment variables presents challenges in client configurations.
- MCP protocols are evolving, necessitating adaptability and awareness of changes to avoid setbacks in server development.
- Building MCP servers can be challenging due to evolving standards, but understanding key concepts and tips can streamline the process.
- Ensure components like Tools, Resources, and Prompt are well-defined, choose appropriate Transports, and leverage libraries for efficient MCP server development.
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