Confidential guide on numerology and astrology, based of GG33 Public information

AWS-Probe-Gen-AI-MCP-Server
Beispielcode mit Gen-AI (Grundgestein) mit MCP-Server
3 years
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move to https://github.com/jikang-jeong/mcp_bedrock_sample
This sample code project is a fork from [https://github.com/aws-samples/Sample-Model-Context-Protocol-Demos]'s repository.
- add postgres db-conn sample
- add web search (wikipedia) sample
✅ Prerequisites
- Python 3.13+
- PostgreSQL (via Docker)
Start PostgreSQL with Docker Compose
docker-compose -f docker-compose/docker-compose.yml up -d
Initialize the Database
- SQL initialization script: /init/init.sql
(Includes both DDL and DML)
⚡ Quick Start
- Set up a virtual environment (recommended):
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -r init/requirements.txt
- Run
python3 main.py
🐘 PostgreSQL Driver Issue (psycopg)
만약, 아래 오류가 출력된다면
ImportError: no pq wrapper available.
Attempts made:
- couldn't import psycopg 'c' implementation: No module named 'psycopg_c'
- couldn't import psycopg 'binary' implementation: No module named 'psycopg_binary'
- couldn't import psycopg 'python' implementation: libpq library not found
아래 PostgreSQL client libraries 설치하십시오. 또는 postgres 모듈을 변경 사용해도 됩니다.
macOS:
brew install libpq
brew link --force libpq
Ubuntu:
sudo apt-get install libpq-dev
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Reviews

user_U23oMNvf
As a loyal user of the aws-sample-gen-ai-mcp-server, I am truly impressed by its robust performance and seamless integration capabilities. Provided by jikang-jeong, this server is a crucial asset for any project requiring advanced AI functions. The clarity in the documentation and ease of setup make it a must-have tool for developers. Highly recommend checking it out at https://github.com/jikang-jeong/aws-sample-gen-ai-mcp-server.