Salesforce Service Cloud MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Salesforce Service Cloud as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="salesforce_service_cloud_agent",
instruction=(
"You help users interact with Salesforce Service Cloud "
"using 8 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Salesforce Service Cloud MCP Server
Connect Salesforce Service Cloud to any AI agent.
Google ADK natively supports Salesforce Service Cloud as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Cases — Search, create, update, and filter by status or priority
- Comments — Read and add internal/public case comments
- Knowledge — Search published knowledge articles for instant answers
- Metrics — Aggregate case counts by status and priority
The Salesforce Service Cloud MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Salesforce Service Cloud to Google ADK via MCP
Follow these steps to integrate the Salesforce Service Cloud MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from Salesforce Service Cloud via MCP
Why Use Google ADK with the Salesforce Service Cloud MCP Server
Google ADK provides unique advantages when paired with Salesforce Service Cloud through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Salesforce Service Cloud
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Salesforce Service Cloud tools with BigQuery, Vertex AI, and Cloud Functions
Salesforce Service Cloud + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Salesforce Service Cloud MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Salesforce Service Cloud and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Salesforce Service Cloud tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Salesforce Service Cloud regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Salesforce Service Cloud
Salesforce Service Cloud MCP Tools for Google ADK (8)
These 8 tools become available when you connect Salesforce Service Cloud to Google ADK via MCP:
sf_add_case_comment
Set isPublished to true if the comment should be visible to the customer (e.g., in a customer portal). Default is internal-only. Use to log agent responses, internal notes, or resolution steps on a support case. Add a comment to a Salesforce case — internal note or customer-visible response
sf_case_comments
Returns comment body, whether it is published (customer-visible), creator name, and creation date. Comments provide the full conversation history of a support case. Use to review case discussions or get context before responding. Get all comments (internal and customer-visible) on a specific Salesforce case for case history review
sf_case_metrics
Returns summary data: how many cases at each status × priority intersection. Perfect for support team dashboards, capacity planning, and identifying volume trends. Use when the user asks "how many open cases do we have?" or "what is the case breakdown by priority?" Get aggregate support case metrics — case counts grouped by status and priority for a team dashboard view
sf_cases_by_status
Returns cases sorted by priority then creation date. Use for support queue management: "how many new cases are there?", "show escalated cases", or for case workload analysis by status. Get all Salesforce cases at a specific status for queue analysis — New, Working, Escalated, or Closed
sf_create_case
Subject is required. Status defaults to "New". Priority: High, Medium, Low. Origin: Web, Phone, Email. Link to a customer via contactId and their company via accountId (both use 18-char Salesforce IDs). Cases track the complete lifecycle of a customer support issue. Create a new support case in Salesforce Service Cloud with subject, description, priority, origin, and linked contact/account
sf_search_cases
Returns case number, subject, status (New/Working/Escalated/Closed), priority (High/Medium/Low), origin channel (Web/Phone/Email), case owner, and description. Use when the user wants to find a specific support case, look up a case number, or review customer issues. Search Salesforce Service Cloud cases by subject or case number to find customer support issues
sf_search_knowledge
Returns article title, summary, URL, and article type. Salesforce Knowledge is the built-in KB for self-service and agent-assist. Use when the user asks for help articles, documented solutions, or wants to check if an issue has been addressed in the knowledge base. Search the Salesforce Knowledge Base for published articles to find documented solutions and answers
sf_update_case
Common operations: advance Status from "New" to "Working" to "Closed", escalate Priority to "High", or append to Description. Only specified fields change. Update a Salesforce case — change status, escalate priority, or add description to reflect case progress
Example Prompts for Salesforce Service Cloud in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Salesforce Service Cloud immediately.
"How many open P1 cases do we have?"
"Find a knowledge article about password reset"
"Create a high-priority case: Login page returning 500 error"
Troubleshooting Salesforce Service Cloud MCP Server with Google ADK
Common issues when connecting Salesforce Service Cloud to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSalesforce Service Cloud + Google ADK FAQ
Common questions about integrating Salesforce Service Cloud MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Salesforce Service Cloud with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Service Cloud to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.