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employeemcpserver

基于Spring AI框架的MCP服务器项目，采用Sync SSE传输协议，集成AWS Bedrock服务并使用PostgreSQL向量存储。

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README

🚀 Spring AI MCP 服务器

Spring AI MCP 服务器采用同步 SSE 传输，基于 AWS Bedrock 和 Postgres 向量存储构建，为相关应用提供了高效稳定的服务支持，能有效满足特定场景下的数据处理和交互需求。

🚀 快速开始

Spring AI MCP 服务器使用同步 SSE 传输，基于 AWS Bedrock 和 Postgres 向量存储。

READY-TO-PASTE CONFIG

MCP client config generator

Choose your client, fill the required environment variables, then copy a config generated from this server's published metadata

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This entry does not contain a standard command or remote URL, so a safe client config cannot be generated automatically

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Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
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Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client