What prerequisites are needed?
AWS access with appropriate permissions, existing database instances, Node.js, npm, Python 3, Git, and optionally Docker.
@milan9527
Basic information
mcp server for databases
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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This guide explains how to set up Model Context Protocol (MCP) servers for various AWS database services—Amazon RDS MySQL, DocumentDB, DynamoDB, Redshift, and ElastiCache Redis—to use with Amazon Bedrock models.
After meeting prerequisites, configure credentials using a template, validate database connections, run the secure setup script (setup_db_mcp_servers_secure.sh), and test the servers with test_mcp_servers.sh. Then issue natural language prompts through Amazon Bedrock to interact with databases.
AWS access with appropriate permissions, existing database instances, Node.js, npm, Python 3, Git, and optionally Docker.
Copy `db_credentials_template.sh` to `set_db_credentials.sh`, then edit the file with your actual database connection info.
Run `test_mcp_servers.sh` after the setup script completes; it will verify all MCP servers are working.
Never commit credentials to version control. Use AWS Secrets Manager or Parameter Store for credential management, IAM roles instead of access keys, and apply least privilege access.
The MCP service runs at `http://127.0.0.1:7002`, and the Chatbot UI is accessible at `http://localhost:8502`.
A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.

Oracle MCP server with no run-sql tool: It generates tools for each of the PL/SQL procedures, tables and approved SQL you choose. The server doesn't expose a SQL prompt, and can't reveal how it's connected to Oracle.
Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
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