Salesforce Service Cloud MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Salesforce Service Cloud through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"salesforce-service-cloud": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Salesforce Service Cloud Agent",
instructions:
"You help users interact with Salesforce Service Cloud " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Salesforce Service Cloud?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Salesforce Service Cloud tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Salesforce Service Cloud MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Salesforce Service Cloud via MCP
Why Use Mastra AI with the Salesforce Service Cloud MCP Server
Mastra AI provides unique advantages when paired with Salesforce Service Cloud through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Salesforce Service Cloud without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Salesforce Service Cloud tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Salesforce Service Cloud + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Salesforce Service Cloud MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Salesforce Service Cloud, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Salesforce Service Cloud as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Salesforce Service Cloud on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Salesforce Service Cloud tools alongside other MCP servers
Salesforce Service Cloud MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Salesforce Service Cloud to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Salesforce Service Cloud to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSalesforce Service Cloud + Mastra AI FAQ
Common questions about integrating Salesforce Service Cloud MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Salesforce Service Cloud with your favorite client
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Connect Salesforce Service Cloud to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.