dbt-mcp and sap-bdc-mcp-server

These are complementary tools: dbt-labs/dbt-mcp provides transformation and orchestration capabilities for data pipelines, while MarioDeFelipe/sap-bdc-mcp-server enables integration with SAP's data cloud platform, allowing them to be used together in unified data warehouse architectures.

dbt-mcp
85
Verified
sap-bdc-mcp-server
33
Emerging
Maintenance 23/25
Adoption 20/25
Maturity 18/25
Community 24/25
Maintenance 10/25
Adoption 2/25
Maturity 9/25
Community 12/25
Stars: 506
Forks: 107
Downloads: 68,677
Commits (30d): 45
Language: Python
License: Apache-2.0
Stars: 2
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About dbt-mcp

dbt-labs/dbt-mcp

A MCP (Model Context Protocol) server for interacting with dbt.

Exposes dbt project metadata and operations through 40+ tools across Discovery API, Semantic Layer, SQL execution, and dbt CLI capabilities—enabling AI agents to query lineage, model details, metrics, and trigger jobs. Connects to dbt Core, Fusion, and Platform environments, supporting both local manifest inspection and cloud-based operations with optional column-level lineage analysis via the Fusion engine.

About sap-bdc-mcp-server

MarioDeFelipe/sap-bdc-mcp-server

MCP server for SAP Business Data Cloud (BDC) integration - 7 tools for Delta Sharing, data product publishing, validation, and orchestration

Related comparisons

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