MCP Server Not Showing in Claude Desktop? Here’s What I Did
Summary
This article details the process of connecting a local "Math MCP Server" to Claude Desktop on Windows, serving as the third installment in an MCP series. The server, previously built using FastMCP, is demonstrated with two fundamental mathematical tools: "square" and "square_root". These tools are implemented in Python, utilizing "@mcp.tool()" decorators to define their functionality, including calculating the square of a float and its square root, with specific error handling for negative numbers in the square root function. The core procedure outlined focuses on registering this custom local MCP server to enable its specialized tools within the Claude Desktop application.
Key takeaway
For AI Engineers or developers aiming to extend Claude Desktop's functionality, you should consider integrating local custom tools via an MCP server. This approach allows you to define specialized functions, such as mathematical operations or data processing, directly accessible within Claude Desktop. By registering your local server, you can significantly enhance the AI's capabilities with domain-specific or proprietary logic, moving beyond its default toolset.
Key insights
Connecting local custom tools via an MCP server extends Claude Desktop's capabilities.
Principles
- Define custom tools using "@mcp.tool()" decorators.
- Implement error handling for tool robustness.
- Register local MCP servers for desktop integration.
Method
The article outlines registering a local MCP server, containing custom Python tools like "square" and "square_root", with Claude Desktop on Windows.
In practice
- Develop custom functions for specific tasks.
- Integrate local services with AI desktop applications.
Topics
- MCP Server
- Claude Desktop
- FastMCP
- Custom Tools
- Tool Integration
- Windows Development
Best for: AI Engineer, Software Engineer
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Editorial summary, takeaway, and curation by AIssential. Original article published by Towards AI - Medium.