CHATFLY MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CHATFLY through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 CHATFLY, 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 CHATFLY MCP Server
Connect your CHATFLY account to any AI agent and take full control of your custom chatbot workflows through natural conversation. Train and monitor your own AI agents using your business data.
The Vercel AI SDK gives every CHATFLY tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Chatbot Oversight — List and retrieve details for all custom AI chatbots in your account natively
- Knowledge Logistics — List all uploaded documents and data sources used for bot training flawlessly
- Training Automation — Trigger the training process for your chatbots to ingest new data securely
- Conversation Intelligence — Access recent chat conversations and full message history flawlessly
- Live Messaging — Send messages to your chatbots and receive AI-generated responses in real-time
- System Monitoring — Retrieve core account information and monitor your AI usage quotas directly within your workspace
The CHATFLY MCP Server exposes 8 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 CHATFLY to Vercel AI SDK via MCP
Follow these steps to integrate the CHATFLY 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 8 tools from CHATFLY and passes them to the LLM
Why Use Vercel AI SDK with the CHATFLY MCP Server
Vercel AI SDK provides unique advantages when paired with CHATFLY 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 CHATFLY integration everywhere
Built-in streaming UI primitives let you display CHATFLY 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
CHATFLY + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CHATFLY MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CHATFLY in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CHATFLY tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CHATFLY capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CHATFLY through natural language queries
CHATFLY MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CHATFLY to Vercel AI SDK via MCP:
get_chatbot_details
Get detailed information for a specific chatbot
get_chatfly_account_info
Retrieve core account and quota information
get_conversation_history
Retrieve the message history for a specific conversation
list_chatfly_bots
List all AI chatbots in your account
list_fly_conversations
List recent chat conversations
list_uploaded_documents
List all files uploaded to the knowledge base
send_bot_message
Send a message to a chatbot and receive a response
trigger_bot_training
Trigger the training process for a chatbot
Example Prompts for CHATFLY in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CHATFLY immediately.
"List all my active chatbots in CHATFLY."
"Show me the last 5 conversations for bot 'Support Assistant'."
"Send a test message to bot ID 123: 'How do I reset my password?'"
Troubleshooting CHATFLY MCP Server with Vercel AI SDK
Common issues when connecting CHATFLY to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCHATFLY + Vercel AI SDK FAQ
Common questions about integrating CHATFLY 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 CHATFLY 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 CHATFLY to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.