About aws-lakeformation-mcp
aws-lakeformation-mcp is an MCP server for granting permissions on tables through AWS Lake Formation. Its README describes Docker-based execution and configuration in Visual Studio Code.
Key features
- 01Grant table permissions through Lake Formation
- 02Build and run with Docker
- 03Configure in Visual Studio Code
Use cases
- 01Set access permissions for tables
- 02Run the server in a Docker container
- 03Configure the server in Visual Studio Code
MCP support
The MCP server exposes table-permission management through AWS Lake Formation for MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEaws-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:
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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.