Freshsales MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Create Lead, Get Contact, Get Lead, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Freshsales through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Freshsales app connector for Mastra AI is a standout in the Sales Automation category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"freshsales-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Freshsales Agent",
instructions:
"You help users interact with Freshsales " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Freshsales?"
);
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 Freshsales MCP Server
Connect your Freshsales (Freshworks CRM) account to any AI agent and take full control of your sales pipeline and customer relationship workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Freshsales tool infrastructure. Connect 10 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
- Lead Orchestration — List and manage new leads programmatically, including retrieving detailed metadata and performing search lookups
- Pipeline Intelligence — Monitor sales deals and their current pipeline stages to track revenue and deal velocity in real-time
- Relationship Management — Access complete profiles for contacts and sales accounts (companies) to maintain a high-fidelity customer database
- Task & Activity Tracking — Monitor pending tasks, appointments, and meetings directly through your agent to coordinate team efforts
- Note Retrieval — Access and retrieve contextual notes associated with any CRM record to provide your agent with the latest background info
The Freshsales MCP Server exposes 10 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.
All 10 Freshsales tools available for Mastra AI
When Mastra AI connects to Freshsales through Vinkius, your AI agent gets direct access to every tool listed below — spanning pipeline-management, lead-scoring, crm, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires last_name and optionally email. Create a new lead
Get details for a specific contact
Get details for a specific lead
List scheduled appointments
List all Freshsales contacts
List all sales deals
List all Freshsales leads
List CRM notes
List all sales accounts (companies)
List CRM tasks
Connect Freshsales to Mastra AI via MCP
Follow these steps to wire Freshsales into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Freshsales MCP Server
Mastra AI provides unique advantages when paired with Freshsales through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Freshsales 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 Freshsales 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
Freshsales + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Freshsales MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Freshsales, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Freshsales as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Freshsales on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Freshsales tools alongside other MCP servers
Example Prompts for Freshsales in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Freshsales immediately.
"List all my new leads in Freshsales."
"Show me the last 5 sales deals and their stages."
"Get details for contact ID '12345'."
Troubleshooting Freshsales MCP Server with Mastra AI
Common issues when connecting Freshsales to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFreshsales + Mastra AI FAQ
Common questions about integrating Freshsales 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.