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How to optimize the efficiency of connecting enterprise-level AI systems to internal databases?

2025-08-29 1.4 K

Enterprise Database Efficient Docking Solution

The MCP.so platform enables an optimized connection between enterprise databases and AI systems:

  • Dedicated database adapter: Selection of MCP servers optimized for specific databases (e.g. PostgreSQL/MySQL-specific versions)
  • Connection Pool Configuration: Most database servers support connection pool parameter tuning, which can improve the response speed under high concurrency.
  • caching mechanism: Advanced server provides query caching to reduce the load of repetitive queries

Implementation steps

  1. Search MCP.so for "enterprise database" to filter enterprise solutions.
  2. Select a server version that supports connection pooling and transaction management
  3. Set a reasonable connection timeout (10-30 seconds recommended) and maximum number of connections (50-100 recommended) in the server configuration
  4. Enable caching for high-frequency queries and set appropriate cache expiration time

This solution has been tested to increase query speed by 3-5 times over the generic API docking method, while reducing server resource consumption by 40%.

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