Snowflake Cube Server
MCP Server for Interacting with Cube Semantic Layers
Resources
context://data_description
Contains a description of the data available in the Cube deployment. This is an application controlled version of the describe_data tool.
data://{data_id}
Contains the data returned by a read_data call in JSON format. This resource is meant for MCP clients that wish to format or otherwise process the output of tool calls. See read_data for more.
Tools
read_data
Accepts a query to the Cube REST API and returns the data in YAML along with a unique identifier for the data returned. This identifier can be used to a retrieve a JSON representation of the data from the resource data://{data_id}. See data://{data_id} for more.
describe_data
Describes the data available in the Cube deployment. This is an agentic version of the context://data_description resource.
Metadata
Release files for mcp-cube-server 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mcp_cube_server-0.0.2.tar.gz | 18.8 kB | With provenance | Details for mcp_cube_server-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mcp_cube_server-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for mcp_cube_server-0.0.2-py3-none-any.whl |
Total release size: 37.0 kB
Release files / mcp_cube_server-0.0.2.tar.gz
| Download URL | mcp_cube_server-0.0.2.tar.gz |
|---|---|
| Size | 18.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
24d7d82ba37c6aa8a3e4b8a6df6a0ae319a79178634f0bd0201964d3f63e9e6e
|
|
BLAKE2b-256 checksum How to use checksums |
a59755f133f7722ecbf25f5aa596da522541e3bd595d044e9b1baaf6433ae946
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 30, 2025.
Transparency logRelease files / mcp_cube_server-0.0.2-py3-none-any.whl
| Download URL | mcp_cube_server-0.0.2-py3-none-any.whl |
|---|---|
| Size | 18.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
253869ae7569cb151c296da8cf5735e9f3472ea28a151e65c650eaa55ef69329
|
|
BLAKE2b-256 checksum How to use checksums |
b22e930753defca5269c967fe611cc5c543913d2667db325547c23eefa4aa273
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 30, 2025.
Transparency logSecurity for mcp-cube-server 0.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for mcp_cube_server-0.0.2.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 30, 2025.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.