Salesforce Chatter MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Salesforce Chatter through 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-chatter": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Salesforce Chatter Agent",
instructions:
"You help users interact with Salesforce Chatter " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Salesforce Chatter?"
);
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 Chatter MCP Server
Connect Salesforce Chatter to any AI agent.
Mastra's agent abstraction provides a clean separation between LLM logic and Salesforce Chatter tool infrastructure. Connect 5 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
- Feed — View your personalized news feed
- Post — Share updates on your feed or any record/group
- Groups — Search and browse Chatter groups
- Comments — Reply to any Chatter post
The Salesforce Chatter MCP Server exposes 5 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 Chatter to Mastra AI via MCP
Follow these steps to integrate the Salesforce Chatter 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 5 tools from Salesforce Chatter via MCP
Why Use Mastra AI with the Salesforce Chatter MCP Server
Mastra AI provides unique advantages when paired with Salesforce Chatter through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Salesforce Chatter 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 Chatter 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 Chatter + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Salesforce Chatter MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Salesforce Chatter, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Salesforce Chatter 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 Chatter on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Salesforce Chatter tools alongside other MCP servers
Salesforce Chatter MCP Tools for Mastra AI (5)
These 5 tools become available when you connect Salesforce Chatter to Mastra AI via MCP:
sf_chatter_feed
Get the latest Chatter news feed for the authenticated user
sf_comment_on_post
Requires the feed element ID. Comment on a Chatter post
sf_group_feed
Requires the group ID (get from sf_search_chatter_groups). Get the feed of a specific Chatter group
sf_post_to_chatter
Provide parentId to post on a specific record. Post a message to Chatter
sf_search_chatter_groups
Returns group name, description, member count, visibility, and owner. Search Chatter groups by name
Example Prompts for Salesforce Chatter in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Salesforce Chatter immediately.
"What is new on my Chatter feed?"
"Post to Chatter: Great quarter everyone! Let us keep the momentum going."
"Find the Sales Team group on Chatter"
Troubleshooting Salesforce Chatter MCP Server with Mastra AI
Common issues when connecting Salesforce Chatter to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSalesforce Chatter + Mastra AI FAQ
Common questions about integrating Salesforce Chatter 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 Chatter with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Chatter to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.