v1.0.0

Installation

pip install sap-datasphere-mcp==v1.0.0
# or
uvx sap-datasphere-mcp

See CHANGELOG.md for full release notes.

What's Changed

• V0.3 Release by @rahulsethi in #2

Full Changelog: v0.3.0...v1.0.0

v0.3.0

Full Changelog: v0.2.0...v0.3.0

SAP Datasphere MCP Server v0.2.0

Changelog

All notable changes to this project are documented here.

---

0.2.0 – Metadata & Diagnostics expansion

Status: in development / preview.

Added

• Catalog metadata helper

  • datasphere_get_asset_metadata to fetch labels, descriptions, type and
    relational/analytical exposure flags for a single asset, plus raw payload.

• Column-level introspection

  • datasphere_list_columns to list columns using relational $metadata
    (EDMX/XML) when available, with preview-based fallback.

• Column search across spaces

  • datasphere_find_assets_with_column to find assets exposing a given column
    in a single space.
  • datasphere_find_assets_by_column to search across multiple spaces with
    limits on spaces and assets scanned.

• Richer column profiling

  • Extended datasphere_profile_column with:
    • numeric percentiles (p25, p50, p75),
    • IQR and Tukey-style fences,
    • outlier count,
    • categorical summary for low-cardinality columns,
    • heuristic role_hint ("id", "measure", "dimension").

• Diagnostics & identity helpers

  • datasphere_diagnostics to run high-level MCP & tenant health checks.
  • datasphere_get_tenant_info to inspect redacted configuration (URLs, region hint, TLS, OAuth presence).
  • datasphere_get_current_user to describe the current identity context
    (technical user vs mock mode) without exposing secrets.

• Mock mode

  • Support for DATASPHERE_MOCK_MODE=1, enabling a small in-memory demo
    dataset for local testing and demos without a real tenant.

• Packaging metadata

  • pyproject.toml updated with:
    • project name mcp-sap-datasphere-server (planned PyPI distribution name),
    • explicit src/sap_datasphere_mcp package configuration for Hatch.

Changed

• datasphere_profile_column now returns a richer numeric_summary and
  optional categorical_summary and role_hint.
• Internals of tools/tasks.py refactored to support both real DatasphereClient
  and MockDatasphereClient.
• Documentation updated to:
  • distinguish clearly between v0.1.0 and v0.2.0 features,
  • describe diagnostics, mock mode and metadata tools,
  • mention the planned PyPI distribution name.

Fixed

• Improved error handling and more structured meta blocks in several tools.
• Clarified documentation around environment variables and TLS verification.

---

0.1.0 – First public preview

Initial GitHub release.

Added

• Health & connectivity

  • datasphere_ping to check basic configuration & OAuth.

• Spaces & catalog

  • datasphere_list_spaces to list visible Datasphere spaces.
  • datasphere_list_assets to list catalog assets in a given space.

• Data preview & relational querying

  • datasphere_preview_asset for small row samples.
  • datasphere_query_relational for simple $select / $filter /
    $orderby / $top / $skip queries.

• Schema & profiling

  • datasphere_describe_asset_schema for sample-based column summaries.
  • datasphere_profile_column for basic column profiling
    (counts, distincts, min / max / mean for numeric columns).

• Search & summaries

  • datasphere_search_assets for fuzzy search across spaces.
  • datasphere_space_summary for quick space-level overviews.

• Tooling & demos

  • Initial demo scripts (demo_mcp_*) for local smoke tests.
  • Basic documentation and instructions for using the MCP server with
    Claude Desktop.

SAP Datasphere MCP Server v0.1

MCP Server for SAP Datasphere with read only capabilities for lightweight operations. 11 tools - fully functional , tested locally and with Claude Desktop