Freshchat MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Freshchat through the 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: {
"freshchat": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Freshchat Agent",
instructions:
"You help users interact with Freshchat " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Freshchat?"
);
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 Freshchat MCP Server
Connect your Freshchat account to any AI agent to automate your customer messaging and conversation management through the Model Context Protocol (MCP). Freshchat is a modern messaging software built for sales and support teams to engage with customers across web, mobile, and social channels. This MCP server enables you to track active chats, send real-time messages, and retrieve detailed user profiles directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Freshchat tool infrastructure. Connect 12 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.
Key Features
- Conversation Oversight — List all active chats, fetch detailed conversation metadata, and monitor chat statuses (open, resolved) instantly.
- Real-time Messaging — Post new messages to existing conversations to keep your support workflows moving fast.
- User & Customer Data — Access detailed profile information for chat participants and search for users by email address.
- Support Team Insights — List all support agents and team members to maintain full context of who is online and available.
- Channel & Group Management — Access configured messaging channels and agent groups to understand your routing logic.
- Message History — Retrieve the full message history for any specific conversation ID for audit and reporting.
- Multi-Region Support — Seamlessly connect to your specific Freshchat data center (US, EU, IN, AU).
The Freshchat MCP Server exposes 12 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 Freshchat to Mastra AI via MCP
Follow these steps to integrate the Freshchat 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 12 tools from Freshchat via MCP
Why Use Mastra AI with the Freshchat MCP Server
Mastra AI provides unique advantages when paired with Freshchat through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Freshchat 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 Freshchat 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
Freshchat + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Freshchat MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Freshchat, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Freshchat as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Freshchat on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Freshchat tools alongside other MCP servers
Freshchat MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Freshchat to Mastra AI via MCP:
check_account_status
Verify account configuration
get_agent_profile
Get agent metadata
get_chat_user_details
Get user metadata
get_conversation_details
Get chat metadata
list_agent_groups
List agent groups
list_chat_channels
List chat channels
list_chat_messages
List messages in a chat
list_chat_users
List chat participants
list_conversations
List active chats
list_support_agents
List support agents
search_chat_users
Find user by email
send_chat_message
Post a new message
Example Prompts for Freshchat in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Freshchat immediately.
"List all open conversations in my Freshchat account."
"Find the Freshchat user with the email 'customer@example.com'."
"Send a message to conversation 'conv_987': 'I am looking into this for you'."
Troubleshooting Freshchat MCP Server with Mastra AI
Common issues when connecting Freshchat to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFreshchat + Mastra AI FAQ
Common questions about integrating Freshchat 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 Freshchat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Freshchat to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.