"Information about SAP (Systems, Applications, and Products in Data Processing)" matching MCP servers:

MCP server for SAP S/4HANA via the ADT API, enabling querying and reading SAP systems with production write protection.

An MCP server that connects AI assistants to SAP ABAP systems, enabling table browsing, report execution, and transaction navigation via SOAP/RFC and SAP WebGUI.

Enables product management (add, fetch) through natural language using Claude Desktop and GitHub Copilot.

Enables local LLMs to query SAP S/4HANA OData services through typed tools for business partners, sales orders, and purchase orders, returning cleaned, compact data and allowing raw read-only access to other endpoints.

Model Context Protocol server that lets AI assistants explore and query SAP Datasphere — metadata discovery, catalog search, OData and SQL queries, ETL extraction, data lineage and column profiling — with built-in config-driven PII masking.

Enables querying SAP S/4HANA Business Partner data via OData V2 API, supporting filtering, sorting, pagination, and field selection.

Production-ready MCP server that enables AI assistants to seamlessly interact with SAP Datasphere environments for real tenant data discovery, metadata exploration, analytics operations, ETL data extraction, database user management, data lineage analysis, and column-level data profiling.

Enables AI assistants to integrate with SAP systems via OData REST APIs for querying entity sets, performing CRUD operations, and executing function imports. It features automatic service discovery, CSRF token management, and smart connection handling without requiring the SAP RFC SDK.

An MCP server that enables AI assistants to interact with SAP systems via the ABAP Development Tools (ADT) REST API. It allows users to read ABAP source code, inspect DDIC objects, and execute SQL queries directly.

An enterprise-grade MCP server that enables AI agents to execute SAP RFC functions and read business data securely through the Model Context Protocol.

Production-ready MCP server enabling AI assistants to interact with SAP Datasphere for real tenant data discovery, metadata exploration, analytics operations, ETL data extraction, database user management, data lineage analysis, and column-level data profiling.

An MCP server for SAP HANA that enables listing tables, columns, running SQL queries, and looking up SAP table descriptions, all through natural language via AI assistants.

Enables Claude Code to connect to SAP systems via ADT, allowing it to search ABAP objects, read source code, run read-only SQL queries, and check connection status.

Connects Claude to SAP's public S/4HANA Cloud sandbox via MCP, enabling natural-language queries against real SAP OData structures like sales and purchase orders.

A reference implementation for connecting SAP Business One to MCP-compatible AI clients, enabling read-only SQL analysis and guarded write workflows.

Enables querying and manipulating SAP ABAP/DDIC objects via ADT REST, including search, source management, table data preview, and CRUD operations.

The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.

Enables interaction with SAP S/4HANA systems via OData, allowing service discovery, metadata exploration, field value retrieval, and CRUD operations through natural language.

Enables querying SAP Business One HANA databases through direct SQL, including read-only safeguards and tools for inspecting schemas, tables, and table structures.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.