MCP servers for the Oceanum platform
Project description
Oceanum MCP
An MCP server package that provides AI assistants with access to the Oceanum platform for ocean/environmental data and cloud storage.
Servers
This package contains multiple MCP servers, selectable at runtime:
| Server | Description |
|---|---|
datamesh |
Search, query, and manage ocean/environmental datasets |
storage |
List, read, write, and delete files in Oceanum cloud storage |
combined |
All tools from both servers under a single endpoint (default) |
Prerequisites
Get an API token from oceanum.io. Set it as the DATAMESH_TOKEN environment variable.
Installation
pip install oceanum-mcp
Or run directly with uvx:
uvx oceanum-mcp # combined server (default)
uvx oceanum-mcp datamesh # datamesh only
uvx oceanum-mcp storage # storage only
uvx oceanum-mcp --list # show available servers
Configuration
Claude Desktop
Add to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Combined server (all tools):
{
"mcpServers": {
"oceanum": {
"command": "uvx",
"args": ["oceanum-mcp"],
"env": {
"DATAMESH_TOKEN": "your-token-here"
}
}
}
}
Individual server (datamesh only):
{
"mcpServers": {
"oceanum-datamesh": {
"command": "uvx",
"args": ["oceanum-mcp", "datamesh"],
"env": {
"DATAMESH_TOKEN": "your-token-here"
}
}
}
}
Claude Code
# Combined server
claude mcp add --transport stdio oceanum -- uvx oceanum-mcp
# Individual server
claude mcp add --transport stdio oceanum-datamesh -- uvx oceanum-mcp datamesh
Set the token in your environment:
export DATAMESH_TOKEN=your-token-here
VS Code / Cline / Continue
Use stdio transport with the same command:
{
"command": "uvx",
"args": ["oceanum-mcp"],
"env": {
"DATAMESH_TOKEN": "your-token-here"
}
}
Environment Variables
| Variable | Required | Description |
|---|---|---|
DATAMESH_TOKEN |
Yes | Oceanum API token (shared by all servers) |
DATAMESH_SERVICE |
No | Custom datamesh service URL (default: https://datamesh.oceanum.io) |
STORAGE_SERVICE |
No | Custom storage service URL (default: https://storage.oceanum.io) |
OCEANUM_DOMAIN |
No | Override the base domain for all services (default: oceanum.io) |
Datamesh Tools
search_catalog
Search the Datamesh catalog with optional text search, time range, and bounding box filters.
| Parameter | Type | Description |
|---|---|---|
search |
string | Text search for name, description, or tags |
time_start |
string | ISO 8601 start time |
time_end |
string | ISO 8601 end time |
bbox |
list[float] | Bounding box [xmin, ymin, xmax, ymax] in WGS84 |
limit |
int | Max results to return |
get_datasource_info
Get full metadata for a datasource including schema, variables, coordinates, and attributes.
| Parameter | Type | Description |
|---|---|---|
datasource_id |
string | Datasource ID |
query_data
Query a datasource with filters. Returns data summary for large results, full data for small ones.
| Parameter | Type | Description |
|---|---|---|
datasource_id |
string | Datasource to query |
variables |
list[string] | Variables to select |
time_start |
string | ISO 8601 start time |
time_end |
string | ISO 8601 end time |
bbox |
list[float] | Bounding box [xmin, ymin, xmax, ymax] |
geofilter_geojson |
string | GeoJSON Feature for spatial filtering |
level_min |
float | Minimum vertical level |
level_max |
float | Maximum vertical level |
coord_filters |
string | JSON array of {"coord": "name", "values": [...]} |
aggregate_operations |
list[string] | Aggregation ops: mean, min, max, std, sum |
aggregate_spatial |
bool | Aggregate over spatial dims (default true) |
aggregate_temporal |
bool | Aggregate over temporal dims (default true) |
limit |
int | Max rows to return |
load_datasource
Load an entire datasource. Best for small datasets.
| Parameter | Type | Description |
|---|---|---|
datasource_id |
string | Datasource to load |
update_metadata
Update metadata on an existing datasource. Only provided fields are changed.
| Parameter | Type | Description |
|---|---|---|
datasource_id |
string | Datasource to update |
name |
string | New name |
description |
string | New description |
tags |
list[string] | New tags |
labels |
list[string] | New labels |
info |
string | JSON string of metadata dict |
details |
string | URL for datasource details |
Storage Tools
list_files
List files and directories in Oceanum cloud storage.
| Parameter | Type | Description |
|---|---|---|
path |
string | Directory path to list (default: "/") |
recursive |
bool | List subdirectories recursively |
file_exists
Check if a file or directory exists in storage.
| Parameter | Type | Description |
|---|---|---|
path |
string | Path to check |
read_file
Read the contents of a text file from storage.
| Parameter | Type | Description |
|---|---|---|
path |
string | Path to the file |
write_file
Write text content to a file in storage.
| Parameter | Type | Description |
|---|---|---|
path |
string | Destination path |
content |
string | Text content to write |
delete_file
Delete a file or directory from storage.
| Parameter | Type | Description |
|---|---|---|
path |
string | Path to delete |
recursive |
bool | Delete directory contents recursively |
file_info
Get metadata about a file or directory.
| Parameter | Type | Description |
|---|---|---|
path |
string | Path to inspect |
Example Workflows
Discover wave data in the Pacific:
search_catalog(search="wave", bbox=[120, -50, 180, 10])get_datasource_info(datasource_id="some-wave-dataset")query_data(datasource_id="some-wave-dataset", variables=["Hs", "Tp"], time_start="2024-01-01", time_end="2024-01-31")
Browse and read files in cloud storage:
list_files(path="/")to see top-level contentslist_files(path="/my-project", recursive=True)to drill downread_file(path="/my-project/config.json")to read a file
Get a quick summary of a dataset:
get_datasource_info(datasource_id="my-dataset")to see variables and time rangequery_data(datasource_id="my-dataset", limit=10)to preview the data
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