What are the runtime requirements?
Python 3.13+ and PostgreSQL (via Docker) are required.
@jikang-jeong
Basic information
sample code using gen-ai(bedrock) with mcp-server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"aws-sample-gen-ai-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It is a sample Model Context Protocol (MCP) server that integrates with PostgreSQL for database connectivity and enables web searches via Wikipedia. It is intended for developers building Gen AI applications using MCP, based on a fork of the AWS Sample MCP Demos repository.
Set up a Python virtual environment with Python 3.13+, install dependencies from init/requirements.txt, and run python3 main.py. PostgreSQL must be started via Docker using the provided docker-compose/docker-compose.yml file, and the database must be initialized with the SQL script at /init/init.sql.
Python 3.13+ and PostgreSQL (via Docker) are required.
Run `docker-compose -f docker-compose/docker-compose.yml up -d`.
Run the SQL script located at `/init/init.sql` (includes both DDL and DML).
Install PostgreSQL client libraries: on macOS run `brew install libpq && brew link --force libpq`; on Ubuntu run `sudo apt-get install libpq-dev`.
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