"Integration between MCP and Emarsys with SAP" matching MCP servers:

Enables querying and managing SAP Cloud Platform Integration resources such as packages, integration flows, message processing logs, security material, and artifact lifecycle through the CPI OData v2 API.

Enables managing SAP Cloud Integration iFlows, packages, configurations, deployments, and runtime artifacts via natural language through the OData API.

Enables AI assistants to securely connect with SAP ABAP and BTP services, allowing execution of function modules, BAPIs, table reads, and various BTP operations through MCP.

Enables AI assistants and n8n workflows to interact with SAP S/4HANA and ECC systems via OData, IDoc, and RFC/BAPI, with governed read-only-by-default access and multiple authentication types.

Unifies Fiori elements, UI5, CAP, and SAP BTP development capabilities in a single MCP server, enabling app generation and modification, documentation search, OData metadata handling, and UI5 scaffolding without SAP runtime dependencies.

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.

MCP server for monitoring and managing SAP Cloud Integration (CPI) tenants via OData APIs, supporting multi-tenant configurations and extensive tools for message logs, integration flows, deployments, and admin operations.

Enables monitoring and management of SAP Cloud Integration (CPI) through its OData APIs, covering message processing logs, integration packages, deployment, security material, and more.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

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 interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

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.

An MCP server for automating SAP BTP Cloud Foundry operations, providing tools for deploying, managing, and monitoring applications.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

Enables AI assistants to manage SAP Business Data Cloud operations including data shares, Delta Sharing, and data product publishing through an MCP interface.

A deployable MCP server template for Cloudflare Workers that provides Google OAuth authentication and comprehensive analytics tracking of tool usage, performance metrics, and user behavior.

Enables SAP ABAP development workflows including ADT login, object search, read, create, update, activate, delete, and OData service publishing.

Enables natural-language interaction with SAP BTP destinations and OData services through MCP tools, allowing users to discover and query OData endpoints and get AI-generated answers.