Background and Solution Overview
When building AI applications, developers often face the problem of complex integration with external tools (e.g., GitHub, databases, etc.) and inconsistent interfaces. the Smithery platform standardizes the connection method through the MCP protocol to provide a ready-to-use solution.
Specific steps
- Installation of the registration toolchain: By
npm install -g @smithery/cliInstallation of command line tools for unified management of all integrations - Server Quick Pick: Browse 4000+ on-premises MCP servers on the official website, categorized by function, e.g. search "GitHub" to find code management related services.
- Security Credentials Management: Use environment variables to store API tokens (e.g.
export MY_TOKEN=xxx), avoid hard-coding sensitive information - SDK Flexible Calling: TypeScript/Python developers can call the SDK directly, sample code:
const client = new MultiClient(); await client.connectAll({ exa: createTransport("https://exa-mcp.example.com") });
Options
Non-technical users can use the cloud hosting service to eliminate local deployment by selecting the "Hosted" tab through the official website graphical interface.
This answer comes from the articleSmithery: an MCP server registration platform that connects AI with toolsThe
May not be reproduced without permission:AI productivity tools " How do you address the difficulty of connecting AI applications to external tools?
