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Salesforce Sales Cloud MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Salesforce Sales 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.

Vinkius supports streamable HTTP and SSE.

typescript
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 Sales Cloud, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Sales Cloud MCP Server

Connect Salesforce Sales Cloud to any AI agent — instant access to your CRM data without switching tabs.

The Vercel AI SDK gives every Salesforce Sales Cloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Leads — Search, create, update, and qualify leads by name, email, or company
  • Opportunities — Track deals, update stages, amounts, and close dates
  • Accounts — Look up company details including revenue, industry, and employees
  • Contacts — Find contacts by name or email with account associations
  • Activities — Log calls, meetings, and emails as Tasks linked to records
  • Pipeline — Get an instant summary of your open pipeline by stage

The Salesforce Sales Cloud MCP Server exposes 10 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 Sales Cloud to Vercel AI SDK via MCP

Follow these steps to integrate the Salesforce Sales Cloud MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Salesforce Sales Cloud and passes them to the LLM

Why Use Vercel AI SDK with the Salesforce Sales Cloud MCP Server

Vercel AI SDK provides unique advantages when paired with Salesforce Sales Cloud through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Salesforce Sales Cloud integration everywhere

03

Built-in streaming UI primitives let you display Salesforce Sales Cloud tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Salesforce Sales Cloud + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Salesforce Sales Cloud MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Salesforce Sales Cloud in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Salesforce Sales Cloud tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Salesforce Sales Cloud capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Salesforce Sales Cloud through natural language queries

Salesforce Sales Cloud MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Salesforce Sales Cloud to Vercel AI SDK via MCP:

01

sf_create_lead

lastName and company are required fields in Salesforce. Status defaults to "Open - Not Contacted". Once qualified, leads can be converted to Contact + Account + Opportunity in the Salesforce UI. Returns the created lead with its 18-character Salesforce ID. Create a new lead in Salesforce Sales Cloud with name, company, email, phone, title, and initial status

02

sf_log_activity

Link to a person via whoId (Contact or Lead ID) and/or to a record via whatId (Account or Opportunity ID). Status defaults to "Completed". Priority: High, Normal, Low. Use to log completed calls, meetings, or emails for activity tracking and reporting. Log a call, meeting, or email as a completed Task in Salesforce linked to a contact, lead, account, or opportunity

03

sf_opportunities_by_stage

Returns deals sorted by amount descending. Standard stages: Prospecting, Qualification, Needs Analysis, Value Proposition, Id. Decision Makers, Perception Analysis, Proposal/Price Quote, Negotiation/Review, Closed Won, Closed Lost. Use for questions like "what deals are in Negotiation?" or "total value of Closed Won this quarter." Get all Salesforce opportunities at a specific pipeline stage for bottleneck analysis, forecasting, or stage review

04

sf_pipeline_summary

Returns the number of deals and total monetary value at each stage. Perfect for pipeline health checks, forecasting conversations, and identifying bottleneck stages. Use when the user asks "how is the pipeline?", "what is our total pipeline value?", or "which stage has the most deals?" Get an aggregate snapshot of the open sales pipeline — deal count and total value per stage for a quick health check

05

sf_search_accounts

Returns account name, industry, annual revenue, number of employees, phone, website, billing city/state/country, and owner. Accounts are the company-level records that contacts and opportunities are linked to. Use when the user asks about a company or needs account-level data. Search Salesforce accounts (companies) by name to find organizations with industry, revenue, employee count, and location

06

sf_search_contacts

Returns contact name, email, phone, account name, title, department, and mailing address. Contacts are qualified individuals linked to accounts — different from leads (unqualified prospects). Use when the user asks about a specific customer contact. Search Salesforce contacts by name or email to find people at customer accounts with title, department, and phone

07

sf_search_leads

Returns lead name, company, email, phone, title, status (e.g., Open - Not Contacted, Working, Closed - Converted), rating (Hot/Warm/Cold), lead source, and assigned owner. Use when the user wants to find a specific prospect, check lead status, or review unqualified pipeline. Search Salesforce leads by name, email, or company to find prospective customers in the sales pipeline

08

sf_search_opportunities

Returns opportunity name, stage (Prospecting/Qualification/Needs Analysis/Value Proposition/Id. Decision Makers/Perception Analysis/Proposal/Negotiation/Closed Won/Closed Lost), amount, close date, probability percentage, and assigned owner. Use for pipeline review, deal lookup, or forecasting queries. Search Salesforce opportunities by name to find deals with stage, amount, probability, close date, and owner

09

sf_update_lead

Only specified fields are updated. Common operations: change Status to "Working" or "Closed - Converted", set Rating to Hot/Warm/Cold for prioritization, or update contact details. Requires the 18-character Salesforce ID. Update an existing Salesforce lead — change status, rating, contact info, or other fields to reflect qualification progress

10

sf_update_opportunity

Common operations: advance StageName when deal progresses, update Amount after negotiation, push CloseDate when timeline shifts, set StageName to "Closed Won"/"Closed Lost" to close. Only specified fields change. Update a Salesforce opportunity — advance stage, change amount, update close date, or add notes to reflect deal progress

Example Prompts for Salesforce Sales Cloud in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salesforce Sales Cloud immediately.

01

"Show me all hot leads from this week"

02

"What does my pipeline look like right now?"

03

"Create a new lead: John Smith from Acme Corp, john@acme.com"

Troubleshooting Salesforce Sales Cloud MCP Server with Vercel AI SDK

Common issues when connecting Salesforce Sales Cloud to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Salesforce Sales Cloud + Vercel AI SDK FAQ

Common questions about integrating Salesforce Sales Cloud MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Salesforce Sales Cloud to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.