Salesforce Admin & Metadata 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 Admin & Metadata 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 Admin & Metadata, 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 Admin & Metadata MCP Server
The Salesforce Admin toolkit for AI agents.
The Vercel AI SDK gives every Salesforce Admin & Metadata 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
- Users — List and search active users with profiles and roles
- Objects — List all objects, describe schemas with field details
- Limits — Monitor API calls, storage, and rate limits
- Metadata — Search Apex classes, triggers, flows via Tooling API
- Apex — Execute anonymous Apex code
- Profiles — List security profiles
The Salesforce Admin & Metadata 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 Admin & Metadata to Vercel AI SDK via MCP
Follow these steps to integrate the Salesforce Admin & Metadata 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 Admin & Metadata and passes them to the LLM
Why Use Vercel AI SDK with the Salesforce Admin & Metadata MCP Server
Vercel AI SDK provides unique advantages when paired with Salesforce Admin & Metadata 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 Admin & Metadata integration everywhere
Built-in streaming UI primitives let you display Salesforce Admin & Metadata 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 Admin & Metadata + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salesforce Admin & Metadata MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salesforce Admin & Metadata in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salesforce Admin & Metadata tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salesforce Admin & Metadata capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salesforce Admin & Metadata through natural language queries
Salesforce Admin & Metadata MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Salesforce Admin & Metadata to Vercel AI SDK via MCP:
sf_describe_object
Returns every field with: API name, label, data type (string/number/date/reference/picklist/boolean), whether required or nullable, max length, reference target objects (for lookups), and picklist values (for picklist fields). Essential for understanding the data model before creating or querying records. Use when the user asks "what fields does Account have?" or needs to know valid picklist values. Describe the full schema of a Salesforce object — all fields, data types, relationships, picklist values, and validation rules
sf_execute_apex
Returns compilation success/failure, execution result, and debug logs. Use for admin tasks (data cleanup, batch operations), testing hypotheses, or running one-off scripts. CAUTION: this executes real code on the org — can modify data. Example: System.debug('Hello World'); Execute anonymous Apex code on the Salesforce org for admin tasks, data fixes, testing, or one-off operations
sf_list_objects
Returns all objects with their API name, label, whether they are queryable, createable, and custom. Includes standard objects (Account, Contact, Lead, Opportunity, Case), custom objects (ending in __c), and managed package objects. Essential for data model discovery: "what objects are available?", "do we have a custom invoices object?" List all queryable and createable objects in the Salesforce org — standard, custom, and managed package objects
sf_list_profiles
Returns profile name, description, user type, and license type. Profiles control what users can see and do in Salesforce — they define object permissions, field-level security, and page layouts. Use when the user asks about permissions, needs to audit access levels, or wants to understand the security model. List Salesforce profiles (permission sets) with name, description, and user type for access control auditing
sf_list_users
Returns user name, email, profile name, role name, user type (Standard/Chatter/etc.), and last login date. Use when the user asks about team members, needs user IDs for record assignment, wants to audit active accounts, or check last login dates for license management. List active Salesforce users with their profile, role, email, user type, and last login date for team management
sf_org_limits
Returns current usage vs. maximum for: daily API calls, data storage, file storage, SOQL queries, DML operations, email invocations, and more. Flags any limits below 10% remaining. Use for capacity monitoring, API governance, or when the user asks about org health and limit consumption. Get API and storage usage limits for the Salesforce org — current consumption vs. maximum for API calls, storage, and more
sf_search_metadata
Supported objects: ApexClass, ApexTrigger, CustomField, ValidationRule, Flow, FlowDefinition, CustomObject, etc. Example: SELECT Id, Name, Body FROM ApexClass WHERE Name LIKE '%Account%'. Use when the user asks about code, automations, custom fields, or configuration metadata in the org. Search Salesforce metadata via the Tooling API — find Apex classes, triggers, custom fields, validation rules, flows, and more
sf_search_users
Returns user name, email, username, profile, role, and login info. Use to find a specific person in the org, look up who owns a record, or get user IDs for API operations. Search Salesforce users by name, email, or username to find specific team members or administrators
Example Prompts for Salesforce Admin & Metadata in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salesforce Admin & Metadata immediately.
"Describe the Opportunity object schema"
"Check our API limits"
"List all Apex classes containing Account"
Troubleshooting Salesforce Admin & Metadata MCP Server with Vercel AI SDK
Common issues when connecting Salesforce Admin & Metadata to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalesforce Admin & Metadata + Vercel AI SDK FAQ
Common questions about integrating Salesforce Admin & Metadata 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 Admin & Metadata with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Admin & Metadata to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.