Internal system integration can be accomplished in three steps by customizing the MCP server mechanism:
- Define the interface specification: the GitHub repository for
packages/uncategorizedCreate a JSON file under to declare metadata such as server type/interface address, etc. - Standardized interfaces: In accordance with
{type, name, packageName}Preparation of configuration files in the format of fields such as - Submit Integration Request: Initiate a PullRequest to the official repository, and automatically generate npm packages after approval
The solution supports private deployment and can be interfaced with internal systems such as ERP/CRM. A customer case shows that it takes only 1 day to put into operation the system docking which traditionally takes 2 weeks to complete by adopting this solution.
This answer comes from the articleToolSDK.ai: a free SDK to quickly connect AI tools to MCP serversThe
May not be reproduced without permission:AI productivity tools " How to achieve fast interfacing of in-house tools with MCP server?
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