Efficient data integration through the MCP.so platform
Developing AI applications often faces the challenge of connecting to external data sources, and MCP.so provides a ready-made solution:
- Browse available servers directly: Visit https://mcp.so/查看已有数据源集成方案 for a variety of types including databases, APIs and more!
- Keyword search function: Enter the desired data source type (e.g. "PostgreSQL", "GitHub") in the top search bar to quickly locate the relevant MCP server.
- Reuse Community Contribution Program: Each server details page provides a GitHub link, which can be directly forked or referenced to implement the logic.
Specific implementation programs
- Select the MCP server that matches the project and check its functional description and compatibility
- Download the server code locally and press README to complete the basic configuration
- Connection testing via an AI client that supports the MCP protocol such as Claude
- Secondary development on existing basis according to business requirements
This approach saves more than 60% of integration time compared to developing from scratch, and the stability of a community-proven solution is more assured.
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