Integrates with Salesforce CRM for customer telemetry, providing access to customer-related data and schema reflection capabilities.
Integrates with SAP S/4HANA for material management, providing access to material-related data and schema reflection capabilities.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@adk-mcp-enterprise-erp-bridge Pull material stock from SAP and customer telemetry from Salesforce"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google ADK Master Curriculum — Track 3: MCP (Model Context Protocol) & Tool Ecosystems (Application 14 of 40)
High-throughput MCP bridge unifying SAP S/4HANA material management and Salesforce CRM customer telemetry with schema reflection.
Agent
mcp_tool
Related MCP server: ERP-File MCP Server
graph TD
User["Client / Event Stream"] --> Gateway["ADK Runtime / FastApi Server"]
Gateway --> Agent["adk-mcp-enterprise-erp-bridge (Root Agent)"]
Agent --> Tools["Specialized Domain Tools"]
Tools --> External["External Systems / Google Cloud APIs"].
├── agent.py # Google ADK agent definition
├── config.py # Environment & model configurations
├── tools/ # Specialized domain tools
├── tests/ # Automated pytest suite
├── main.py # Application entrypoint
├── Dockerfile # Container deployment
└── .github/workflows/ # Automated CI verification# 1. Install dependencies
pip install -r requirements.txt
# 2. Configure credentials
export GOOGLE_API_KEY="your-gemini-api-key"
# 3. Run application
python main.pypytest tests/This server cannot be deployed
34-tool GTM gateway: CRMs, ad platforms, analytics, Google Workspace, AWS, and LLM orchestration.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Data-ontology maps of your business systems, served to AI agents over MCP.
AI-ready GIS, geofencing, DataSynch, CRM, inventory, routing, APIs, telemetry and workflows.
