"SAP" matching MCP servers:

Enables MCP clients to connect to SAP S/4HANA on-premise systems, providing developer-grade read and write access to ABAP source, DDIC objects, table data, syntax/ATC checks, debugging, and transport management.

Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.

An MCP server for interacting with Saptiva AI's suite of models, offering capabilities such as chat completions, chain-of-thought reasoning, and OCR. It enables users to generate semantic embeddings, access specialized prompts, and manage AI-driven workflows through a standardized interface.

Enables integration between SAP HANA Cloud Database and Cursor IDE through the Model Context Protocol, providing standardized interfaces for managing ML models and execution contexts.

Enables AI models to generate production-ready, 60fps-optimized GSAP animation code from natural language requests. It provides expert-level tools for creating complex sequences, debugging performance issues, and setting up GSAP within modern web frameworks.

MCP server for SAP ABAP development via the ADT API. Connect AI assistants to your SAP system — read, write, test, and deploy ABAP code without SAP GUI.

Enables AI assistants to access SAP ADT APIs for reading, writing, debugging, deploying, and testing ABAP code through natural language or DSL automation.

An ADT-to-MCP bridge that enables AI assistants to read, write, debug, deploy, and test SAP ABAP code through natural language.

An MCP server that connects AI assistants to SAP systems via the ADT REST API, enabling read, write, syntax-check, and activation of ABAP code directly from the chat.

Enables launching and controlling a debugpy debug session through MCP, including setting breakpoints, stepping, evaluating expressions, and observing debugger state and events.

A Model Context Protocol server that provides seamless integration with Mingdao platform APIs, enabling AI applications to perform operations like worksheet management, record manipulation, and role management through natural language.

Enables executing SAS code, training AutoML projects, and scoring models on SAS Viya environments through 68 tools across 9 tiers.

An MCP server that provides a real debugger via the Debug Adapter Protocol, exposing a single 'debug' tool to launch/attach, control execution, and inspect program state across gdb, lldb, debugpy, and more.

Enables coding agents to write, run, and validate SAS 9.4 code locally via SASPy, with log triage, schema discovery, and safety guardrails.

An MCP server that exposes Python debugging tools backed by debugpy, providing a focused debugging surface for local scripts.

Enables any MCP client to debug programs through the Debug Adapter Protocol, supporting launch/attach, breakpoints, stepping, variable inspection, evaluation, and memory operations via a single debug tool.

Enables execution of SAS code on SAS Viya compute environments with OAuth2 authentication. Allows users to run SAS programs and retrieve execution results including logs and output through the Model Context Protocol.

Enables users to create, manage, and execute Google Apps Script projects through natural language. It provides comprehensive tools for code editing, function execution, deployment management, and monitoring script processes.

An MCP server for executing SAS code and managing SAS Viya resources, including data, CAS tables, models, and batch jobs, with support for multiple deployment modes and authentication options.

A comprehensive MCP server for SA-MP server development and management, enabling AI-assisted server administration, Pawn scripting, plugin management, and diagnostics.