"A search for information about SAP (software, tree sap, or related topics)" matching MCP servers:

MCP server for SAP on-premise via ADT, enabling multi-system connection, code navigation, data queries, and debugging through natural language. Includes a web admin and runtime diagnostics.

An MCP server that enables AI assistants to interact with SAP GUI for Windows through the SAP GUI Scripting API.

Enables retrieving event summaries from SAP Ariba by providing doc_id, user, password_adapter, and realm parameters.

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

Enables AI assistants to work with SAP ABAP systems through the ADT REST API, supporting repository search, source code read/write, activation, syntax checks, and transport request management.

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.

Simulates and intermediates integrations with SAP via OData, exposing automated tools for AI agents and assistants.

MCP server for SAP Datasphere that enables AI assistants to perform data discovery, metadata exploration, analytics queries, ETL data extraction, database user management, and data profiling with built-in PII masking.

Enables natural language querying of SAP business partner data by exposing OData APIs as MCP tools for LLM agents.

Enables interaction with SAP Business One API through Azure Container Apps with VNet connectivity. Provides secure access to SAP data and operations through natural language interface.

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

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.

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 directly control, automate, orchestrate, and self-heal Hybris/CCv2 environments and headless Spartacus storefronts through 27 JSON-RPC tools. Covers greenfield site provisioning, CMS scaffolding, B2B organization governance, Drools promotion rules, Solr reindexing, catalog sync, FlexibleSearch/ImpEx/Groovy execution, Spartacus diagnostics with auto-fix, and a self-evolving script and knowledge library.

A Model Context Protocol (MCP) server that provides seamless integration with SAP systems through RFC (Remote Function Call) connections. This server enables AI assistants and applications to interact with SAP functions, retrieve metadata, and perform operations with enhanced caching and version compatibility.

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.

Enables AI assistants to perform real-time SAP security audits and risk assessments by analyzing user roles, system parameters, and segregation of duties via RFC integration. It provides 17 specialized tools for monitoring security compliance and generating comprehensive audit reports directly from SAP systems.

Enables executing WPMA price pushes to transfer article data and GTINs in SAP GUI through background immediate processing.

Automates interactions with SAP GUI using the Model Context Protocol, allowing precise control of SAP transactions through tools like clicking, typing, scrolling, and transaction management.

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.