aws s-samples

This MCP server repository does not contain its own run-time tooling or documented usage in the current README snippet. It simply notes that the AWS MCP server samples are not maintained as an official AWS sample and have been moved to a personal repository. To explore and use MCP server samples, visit the linked personal repository at https://github.com/xiehust/aws-mcp-servers-samples for detailed instructions, sample configurations, and any tooling provided there. If you obtain a server definition from that source, you would typically run the MCP server using the method described in that source (for example, via a supported runtime like Node, Python, or Docker), and manage server instances through the MCP framework or CLI described in the corresponding documentation.

If you are already familiar with MCP generally, you can use this repository as a reference to locate related samples in the personal repo and adapt the sample configurations to your environment once you have access to the specific run commands and environment requirements outlined there.

Note: This repository does not include explicit installation steps for the MCP servers. To install and run samples, follow these general steps aligned with common MCP usage and the instructions provided in the linked personal repository.

Prerequisites:

• Access to Git and a working development environment
• The runtime(s) required by the chosen MCP sample (for example, Node.js, Python, Docker, etc.) as specified by the sample you intend to run
• Basic knowledge of MCP concepts and how to configure servers in your environment

Installation steps:

1. Clone the personal repository that hosts the MCP server samples referenced in this README: git clone https://github.com/xiehust/aws-mcp-servers-samples.git
2. Review the specific sample you want to run within that repository for exact dependencies and run instructions.
3. Install dependencies as directed by the sample (for example: npm install for Node-based samples, pip install -r requirements.txt for Python samples, or pulling a Docker image if provided).
4. Configure environment variables and any required configuration files per the sample’s documentation.
5. Start the MCP server following the sample’s run command (for example, node path/to/server.js or uvx/uv-based command, or a Docker run command as specified).

If you do not have access to the personal repository, you will need to rely on the information provided there for exact installation steps and runtime commands, as this repository only notes the relocation and does not include detailed installation guidance.

This repository acts as a placeholder indicating that the AWS MCP server samples have been moved to a personal repository and are not maintained as an official AWS sample. Do not rely on this repository for production deployments. If you are using the linked personal repo, refer to its documentation for up-to-date setup, environment variables, and configuration options. Common issues may include missing runtime dependencies, version mismatches between MCP samples and the runtime, or differences in how environment variables are loaded across samples. Always verify the exact version compatibility and follow the host repository’s guidance for best results.