Salesforce Admin & Metadata MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Salesforce Admin & Metadata through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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-admin-metadata": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Salesforce Admin & Metadata Agent",
instructions:
"You help users interact with Salesforce Admin & Metadata " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Salesforce Admin & Metadata?"
);
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 Admin & Metadata MCP Server
The Salesforce Admin toolkit for AI agents.
Mastra's agent abstraction provides a clean separation between LLM logic and Salesforce Admin & Metadata tool infrastructure. Connect 8 tools through 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
- 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 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 Admin & Metadata to Mastra AI via MCP
Follow these steps to integrate the Salesforce Admin & Metadata 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 8 tools from Salesforce Admin & Metadata via MCP
Why Use Mastra AI with the Salesforce Admin & Metadata MCP Server
Mastra AI provides unique advantages when paired with Salesforce Admin & Metadata through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Salesforce Admin & Metadata 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 Admin & Metadata 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 Admin & Metadata + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Salesforce Admin & Metadata MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Salesforce Admin & Metadata, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Salesforce Admin & Metadata 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 Admin & Metadata on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Salesforce Admin & Metadata tools alongside other MCP servers
Salesforce Admin & Metadata MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Salesforce Admin & Metadata to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Salesforce Admin & Metadata to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSalesforce Admin & Metadata + Mastra AI FAQ
Common questions about integrating Salesforce Admin & Metadata 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?
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Connect Salesforce Admin & Metadata to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.