Freshsuccess MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Freshsuccess through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Freshsuccess, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Freshsuccess MCP Server
Connect your Freshsuccess (Freshdesk Customer Success) account to any AI agent to automate your customer retention and engagement operations through the Model Context Protocol (MCP). Freshsuccess empowers Customer Success Managers (CSMs) to prevent churn, increase expansion revenue, and proactively manage accounts. This MCP server enables you to track health scores, update user metadata, and log custom metrics directly through natural conversation.
The Vercel AI SDK gives every Freshsuccess tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Account Oversight — List all customer accounts, retrieve detailed profiles including health scores, and map assigned CSMs instantly.
- User & Engagement Tracking — Access detailed end-user profiles, monitor product usage, and upsert records to ensure accurate data.
- Proactive Alerts — Monitor configured customer success alerts (e.g., drop in usage, poor health) to prioritize interventions.
- Task Management — Retrieve pending CSM tasks and to-dos to keep your team aligned on retention efforts.
- Custom Metric Logging — Post specific product usage values or custom metrics directly to accounts and users to influence health scoring.
- Data Synchronization — Ensure your CRM and CS platforms are perfectly aligned by automating record updates.
The Freshsuccess MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK 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 Freshsuccess to Vercel AI SDK via MCP
Follow these steps to integrate the Freshsuccess MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from Freshsuccess and passes them to the LLM
Why Use Vercel AI SDK with the Freshsuccess MCP Server
Vercel AI SDK provides unique advantages when paired with Freshsuccess through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Freshsuccess integration everywhere
Built-in streaming UI primitives let you display Freshsuccess tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Freshsuccess + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Freshsuccess MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Freshsuccess in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Freshsuccess tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Freshsuccess capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Freshsuccess through natural language queries
Freshsuccess MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Freshsuccess to Vercel AI SDK via MCP:
check_api_status
Verify API connection
get_account_health
Get account metadata
get_user_health
Get user metadata
list_cs_accounts
List customer accounts
list_cs_alerts
g. drop in usage). List active alerts
list_cs_tasks
List pending tasks
list_cs_users
List account users
list_custom_metrics
List defined metrics
post_metric_value
Record custom metric
upsert_cs_account
Create/Update account
upsert_cs_user
Create/Update user
Example Prompts for Freshsuccess in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Freshsuccess immediately.
"List all active customer success alerts."
"Show me the health score for account 'acc_123'."
"Post a custom metric 'api_calls' with value 150 for user 'user_987'."
Troubleshooting Freshsuccess MCP Server with Vercel AI SDK
Common issues when connecting Freshsuccess to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFreshsuccess + Vercel AI SDK FAQ
Common questions about integrating Freshsuccess MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Freshsuccess 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 Freshsuccess to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.