Salesforce Analytics & SOQL MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Salesforce Analytics & SOQL through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"salesforce-analytics-soql": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Salesforce Analytics & SOQL Agent",
instructions:
"You help users interact with Salesforce Analytics & SOQL " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Salesforce Analytics & SOQL?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Salesforce Analytics & SOQL tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Salesforce Analytics & SOQL MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Salesforce Analytics & SOQL via MCP
Why Use Mastra AI with the Salesforce Analytics & SOQL MCP Server
Mastra AI provides unique advantages when paired with Salesforce Analytics & SOQL through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Salesforce Analytics & SOQL without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Salesforce Analytics & SOQL tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Salesforce Analytics & SOQL + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Salesforce Analytics & SOQL MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Salesforce Analytics & SOQL, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Salesforce Analytics & SOQL as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Salesforce Analytics & SOQL on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Salesforce Analytics & SOQL tools alongside other MCP servers
Salesforce Analytics & SOQL MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Salesforce Analytics & SOQL to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Salesforce Analytics & SOQL to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSalesforce Analytics & SOQL + Mastra AI FAQ
Common questions about integrating Salesforce Analytics & SOQL MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Salesforce Analytics & SOQL with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Analytics & SOQL to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.