Salesforce MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Salesforce 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, 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 MCP Server
Connect your Salesforce CRM to any AI agent and manage your entire sales pipeline through natural conversation.
The Vercel AI SDK gives every Salesforce tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- SOQL Queries — Execute any SOQL query to retrieve data across all objects
- Account Management — List, view, create, and update accounts
- Contact & Lead Management — Browse contacts, search across all objects
- Opportunity Tracking — Monitor pipeline, create and update deals
- Reports — List and execute Salesforce reports
- Full CRUD — Create, read, update, and delete any SObject type
- Global Search — Full-text search across all Salesforce data
The Salesforce MCP Server exposes 12 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 to Vercel AI SDK via MCP
Follow these steps to integrate the Salesforce 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 12 tools from Salesforce and passes them to the LLM
Why Use Vercel AI SDK with the Salesforce MCP Server
Vercel AI SDK provides unique advantages when paired with Salesforce 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 integration everywhere
Built-in streaming UI primitives let you display Salesforce 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 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salesforce MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salesforce in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salesforce tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salesforce capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salesforce through natural language queries
Salesforce MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Salesforce to Vercel AI SDK via MCP:
create_record
Provide JSON fields as a string. Create a new Salesforce record
delete_record
This action is irreversible. Delete a Salesforce record
describe_object
Useful for understanding data structure. Get metadata about a Salesforce object
get_record
Specify the SObject type (Account, Contact, Opportunity, Case, Lead) and the record ID. Get a specific Salesforce record by type and ID
global_search
Returns matches across Accounts, Contacts, Leads, and other objects simultaneously. Search across all Salesforce objects
list_accounts
List Salesforce accounts
list_contacts
List Salesforce contacts
list_opportunities
List sales opportunities
list_reports
List available Salesforce reports
run_report
Use list_reports first to find the report ID. Execute a Salesforce report and get results
soql_query
Example: SELECT Id, Name FROM Account WHERE Industry = 'Technology' LIMIT 10 Execute a SOQL query against Salesforce
update_record
Provide the SObject type, ID, and JSON fields to update. Update an existing Salesforce record
Example Prompts for Salesforce in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salesforce immediately.
"Show me all open opportunities worth over $50,000."
"Create a new lead for John Smith from TechCo, email john@techco.com."
"Run the Monthly Sales Report."
Troubleshooting Salesforce MCP Server with Vercel AI SDK
Common issues when connecting Salesforce to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalesforce + Vercel AI SDK FAQ
Common questions about integrating Salesforce 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 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.