aws-lakeformation-mcp
This server allows AI models to connect with AWS Lake Formation, making it easier to manage and access data securely. It helps users query data and control permissions programmatically, simplifying interactions with data resources.
Author

0xNacho
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aws-lakeformation-mcp
Testing with mcp-inspector
npx @modelcontextprotocol/inspector ts-node src/index.ts
```
## Building and Running the Docker Image
To build the Docker image for the AWS Lake Formation MCP server, use the following command:
```bash
docker build -t mcp/aws-lakeformation-mcp .
This command will create a Docker image tagged as mcp/aws-lakeformation-mcp.
To run the Docker container, use the following command:
docker run -i --rm mcp/aws-lakeformation-mcp
This will start the MCP server in a Docker container and remove the container once it stops.
Deploying the MCP Server in VS Code
To deploy the MCP server in Visual Studio Code, add the following configuration to your settings.json file:
"mcp": {
"servers": {
"aws-lakeformation-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/aws-lakeformation-mcp"
],
"env": {
"AWS_ACCESS_KEY_ID": "${input:aws_access_key}",
"AWS_SECRET_ACCESS_KEY": "${input:aws_secret_key}",
"AWS_REGION": "${input:aws_region}"
}
}
}
}
This configuration specifies the command and environment variables required to run the MCP server in a Docker container. Replace the placeholders in the env section with your AWS credentials and region.
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
