# MCP Server for Apache Gravitino
[](https://www.python.org/downloads/)
MCP server providing Gravitino APIs - A FastMCP integration for Apache Gravitino services.
## Features
* Seamless integration with [FastMCP](https://github.com/jlowin/fastmcp) for Gravitino APIs
* Simplified interface for metadata interaction
* Supports metadata operations for catalogs, schemas, tables, models, users, tags, and user-role management
## Installation
This project uses [uv](https://github.com/astral-sh/uv) as the dependency and virtual environment management tool. Please ensure `uv` is installed on your system.
1. Clone the repository:
```bash
git clone git@github.com:datastrato/mcp-server-gravitino.git
```
2. Navigate into the project directory:
```bash
cd mcp-server-gravitino
```
3. Create a virtual environment:
```bash
uv venv
```
4. Activate the virtual environment:
```bash
source .venv/bin/activate
```
5. Install dependencies:
```bash
uv install
```
## Configuration
### Common Configuration
Regardless of the Authorization, the following environment variables need to be set:
```bash
GRAVITINO_METALAKE=<YOUR_METALAKE> # default: "metalake_demo"
GRAVITINO_URI=<YOUR_GRAVITINO_URI>
```
* `GRAVITINO_URI`: The base URL of your Gravitino server.
* `GRAVITINO_METALAKE`: The name of the metakube to use.
### Authorization
`mcp-server-gravitino` supports both token-based and basic authentication methods. These mechanisms allow secure access to MCP tools and prompts and are suitable for integration with external systems.
#### Token Authentication
Set the following environment variables:
```bash
GRAVITINO_JWT_TOKEN=<YOUR_GRAVITINO_JWT_TOKEN>
```
`GRAVITINO_JWT_TOKEN`: The JWT token for authentication.
#### Basic Authentication
Alternatively, you can use basic authentication:
```bash
GRAVITINO_USERNAME=<YOUR_GRAVITINO_USERNAME>
GRAVITINO_PASSWORD=<YOUR_GRAVITINO_PASSWORD>
```
* `GRAVITINO_USERNAME`: The username for Gravitino authentication.
* `GRAVITINO_PASSWORD`: The corresponding password.
### Tool Activation
Tool activation is currently based on method names (e.g., `get_list_of_table`). You can specify which tools to activate by setting the optional environment variable `GRAVITINO_ACTIVE_TOOLS`. The default value is `*`, which activates all tools. If just want to activate `get_list_of_roles` tool, you can set the environment variable as follows:
```bash
GRAVITINO_ACTIVE_TOOLS=get_list_of_roles
```
## Usage
To launch the Gravitino MCP Server, run the following command:
```bash
uv \
--directory /path/to/mcp-gravitino \
run \
--with fastmcp \
--with httpx \
--with mcp-server-gravitino \
python -m mcp_server_gravitino.server
```
The meaning of each argument is as follows:
| Argument | Description |
| --------------------------------------- | ----------------------------------------------------------------------- |
| `uv` | Launches the [UV](https://github.com/astral-sh/uv) CLI tool |
| `--directory /path/to/mcp-gravitino` | Specifies the working project directory with `pyproject.toml` |
| `run` | Indicates that a command will be executed in the managed environment |
| `--with fastmcp` | Adds `fastmcp` to the runtime environment without altering project deps |
| `--with httpx` | Adds `httpx` dependency for async HTTP functionality |
| `--with mcp-server-gravitino` | Adds the local module as a runtime dependency |
| `python -m mcp_server_gravitino.server` | Starts the MCP server using the package's entry module |
### Goose Client Example
Example configuration to run the server using Goose:
```json
{
"mcpServers": {
"Gravitino": {
"command": "uv",
"args": [
"--directory",
"/Users/user/workspace/mcp-server-gravitino",
"run",
"--with",
"fastmcp",
"--with",
"httpx",
"--with",
"mcp-server-gravitino",
"python",
"-m",
"mcp_server_gravitino.server"
],
"env": {
"GRAVITINO_URI": "http://localhost:8090",
"GRAVITINO_USERNAME": "admin",
"GRAVITINO_PASSWORD": "admin",
"GRAVITINO_METALAKE": "metalake_demo"
}
}
}
}
```
## Tool List
`mcp-server-gravitino` does not expose all Gravitino APIs, but provides a selected set of optimized tools:
### Table Tools
* `get_list_of_catalogs`: Retrieve a list of catalogs
* `get_list_of_schemas`: Retrieve a list of schemas
* `get_list_of_tables`: Retrieve a paginated list of tables
* `get_table_by_fqn`: Fetch detailed information for a specific table
* `get_table_columns_by_fqn`: Retrieve column information for a table
### Tag Tools
* `get_list_of_tags`: Retrieve all tags
* `associate_tag_to_entity`: Attach a tag to a table or column
* `list_objects_by_tag`: List objects associated with a specific tag
### User Role Tools
* `get_list_of_roles`: Retrieve all roles
* `get_list_of_users`: Retrieve all users
* `grant_role_to_user`: Assign a role to a user
* `revoke_role_from_user`: Revoke a user's role
### Model Tools
* `get_list_of_models`: Retrieve a list of models
* `get_list_of_model_versions_by_fqn`: Get versions of a model by fully qualified name
Each tool is designed to return concise and relevant metadata to stay within LLM token limits while maintaining semantic integrity.
## License
This project is licensed under the [Apache License Version 2.0](LICENSE).
