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How Not to Write an MCP Server
- Creating an MCP server for an observability application involved using the .NET MCP SDK for the server and Cursor and vscode as clients.
- Lesson 1: Avoid overwhelming the agent with excessive data; focus on high-level details and provide additional API queries for specific data subsets.
- Lesson 2: Use ISO 8601 time duration format for queries, as the agent might not have real-time awareness of dates and times.
- Lesson 3: When the agent makes errors, indicate how to improve by providing clear response details and possible values.
- Lesson 4: Emphasize user intent over functionality in tool descriptions to better guide the agent on when to use certain tools.
- Lesson 5: Document JSON responses to provide context and aid the agent in interpreting data.
- Consider choosing the SSE Server architecture over STDIO for easier updates and versioning in MCP server development.
- MCP technology presents challenges in integrating with user needs and usage scenarios that may go beyond anticipated requirements.
- The development process of an MCP server involves learning from mistakes and adjusting the server's structure to enhance AI agent interactions.
- The article showcases lessons learned in developing an MCP server, focusing on data handling, time formats, user guidance, and architecture choices.
- Overall, implementing an effective MCP server requires attention to data structure, user intent, and documentation to optimize AI agent performance.
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