Salesforce Analytics & SOQL MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Salesforce Analytics & SOQL through 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 Analytics & SOQL, 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 Analytics & SOQL MCP Server
The most powerful Salesforce integration — raw SOQL access to any data in your org.
The Vercel AI SDK gives every Salesforce Analytics & SOQL tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through 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 — Run any query against standard or custom objects
- Reports — List and execute Salesforce reports
- Dashboards — View dashboard components and data
- Counts — Get record counts for any object
The Salesforce Analytics & SOQL MCP Server exposes 6 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 Analytics & SOQL to Vercel AI SDK via MCP
Follow these steps to integrate the Salesforce Analytics & SOQL 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 6 tools from Salesforce Analytics & SOQL and passes them to the LLM
Why Use Vercel AI SDK with the Salesforce Analytics & SOQL MCP Server
Vercel AI SDK provides unique advantages when paired with Salesforce Analytics & SOQL 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 Analytics & SOQL integration everywhere
Built-in streaming UI primitives let you display Salesforce Analytics & SOQL 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 Analytics & SOQL + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salesforce Analytics & SOQL MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salesforce Analytics & SOQL in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salesforce Analytics & SOQL tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salesforce Analytics & SOQL capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salesforce Analytics & SOQL through natural language queries
Salesforce Analytics & SOQL MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Salesforce Analytics & SOQL to Vercel AI SDK via MCP:
sf_get_dashboard
Each component includes its type, header, data values, and the source report. Dashboards provide pre-built visual summaries. Get the dashboard ID from sf_list_dashboards. Use when the user asks "show me the sales dashboard" or wants a visual summary of specific metrics. Get all component data from a specific Salesforce dashboard — charts, metrics, and tables with their underlying data
sf_list_dashboards
Returns dashboard title, folder, last referenced date, and dashboard ID. Dashboards contain visual components (charts, tables, metrics) built from reports. Use to find dashboard IDs before fetching their component data with sf_get_dashboard. List available Salesforce dashboards with title, folder, and last referenced date to discover visualization assets
sf_list_reports
Returns report name, folder path, report format (Tabular/Summary/Matrix), last run date, and report ID. Use when the user asks about available reports, wants to find a specific one, or needs report IDs before running them with sf_run_report. List available Salesforce reports with name, folder, format, and last run date to discover reporting assets
sf_record_count
Returns the total number of records. Use for quick data volume checks: "how many leads do we have?", "total number of accounts", or capacity planning. Accepts any standard or custom object API name. Get the total record count for any Salesforce object — Account, Contact, Lead, Opportunity, Case, or any custom object
sf_run_report
Get the report ID from sf_list_reports first. This is the read-only equivalent of clicking "Run Report" in the Salesforce UI. Returns up to 2000 rows. Use when the user asks for specific report data or wants to extract insights from a saved report. Execute a specific Salesforce report by ID and return its full data — all rows, columns, and groupings
sf_run_soql
This is the most powerful and flexible tool — you can query any standard or custom object, apply filters, use aggregate functions, and join related objects. Example: SELECT Id, Name, Amount, StageName FROM Opportunity WHERE StageName = 'Closed Won' AND Amount > 10000 LIMIT 10. Use when no other tool covers the specific data need, or when the user requests a custom query. Execute a raw SOQL query against your Salesforce org to retrieve any data from standard or custom objects
Example Prompts for Salesforce Analytics & SOQL in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salesforce Analytics & SOQL immediately.
"What was our total revenue closed this quarter?"
"Show me all reports in the Sales folder"
"How many accounts do we have by industry?"
Troubleshooting Salesforce Analytics & SOQL MCP Server with Vercel AI SDK
Common issues when connecting Salesforce Analytics & SOQL to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalesforce Analytics & SOQL + Vercel AI SDK FAQ
Common questions about integrating Salesforce Analytics & SOQL 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 Analytics & SOQL with your favorite client
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Connect Salesforce Analytics & SOQL to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.