待验证50% 置信事实精确时间
Before MCP, plugin systems across different AI tools were incompatible, forcing developers to build redundant integrations for different platforms
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
相关事实
待验证Before MCP, connecting AI to different data sources such as Google Drive or databases required developing separate dedicated plugins for each.80% 相似部分验证Before MCP, every AI application needed custom integration code to interface with external services, resulting in massive duplication of effort and compatibility issues80% 相似待验证Before MCP, every AI tool needed to develop separate adapters for different data sources and services, creating massive duplication of effort76% 相似待验证Before MCP, the industry had Function Calling mechanisms but they lacked cross-platform standardization, with each AI platform implementing them differently76% 相似待验证Developers only need to build an MCP Server once and it can be reused by all compatible AI tools74% 相似
引用此条事实
Stable URI
https://kongchang.com/claim/42737API
curl https://kongchang.com/api/v1/knowledge/claims/42737MCP
get_claim(id=42737)