Salesforce Service Cloud MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Salesforce Service Cloud through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Salesforce Service Cloud, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Salesforce Service Cloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Salesforce Service Cloud MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Salesforce Service Cloud and passes them to the LLM
Why Use Vercel AI SDK with the Salesforce Service Cloud MCP Server
Vercel AI SDK provides unique advantages when paired with Salesforce Service Cloud through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Salesforce Service Cloud integration everywhere
Built-in streaming UI primitives let you display Salesforce Service Cloud tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Salesforce Service Cloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salesforce Service Cloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salesforce Service Cloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salesforce Service Cloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salesforce Service Cloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salesforce Service Cloud through natural language queries
Salesforce Service Cloud MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Salesforce Service Cloud to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Salesforce Service Cloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalesforce Service Cloud + Vercel AI SDK FAQ
Common questions about integrating Salesforce Service Cloud MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Salesforce Service Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Service Cloud to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.