FastGPT MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FastGPT 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 FastGPT, 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 FastGPT MCP Server
Connect your AI workflows to FastGPT, the powerful open-source platform for building knowledge-based AI applications. This MCP provides 12 tools for full lifecycle management of datasets, apps, and RAG (Retrieval-Augmented Generation) pipelines.
The Vercel AI SDK gives every FastGPT tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Dataset Orchestration — Create, list, and manage knowledge base datasets with granular control over configurations
- Document Ingestion — Push text content or chunks directly to datasets for automatic indexing and vectorization
- Semantic Search — Run advanced semantic queries against your knowledge bases to test relevance and RAG quality
- Application Management — List and inspect AI applications to monitor their configurations and linked datasets
- OpenAI-Compatible Chat — Trigger RAG-powered chat completions with full context, session tracking, and intermediate step visibility
The FastGPT MCP Server exposes 12 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 FastGPT to Vercel AI SDK via MCP
Follow these steps to integrate the FastGPT 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 12 tools from FastGPT and passes them to the LLM
Why Use Vercel AI SDK with the FastGPT MCP Server
Vercel AI SDK provides unique advantages when paired with FastGPT 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 FastGPT integration everywhere
Built-in streaming UI primitives let you display FastGPT 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
FastGPT + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FastGPT MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FastGPT in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FastGPT tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FastGPT capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FastGPT through natural language queries
FastGPT MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect FastGPT to Vercel AI SDK via MCP:
chat_completions
Supports chatId for context tracking, streaming, and detailed intermediate steps. Send a message to a FastGPT application
create_dataset
Create a new dataset (knowledge base)
delete_dataset_data
Delete specific data from a dataset
get_app_detail
Get details for a specific AI application
get_dataset_detail
Get details for a specific dataset
get_embeddings
Useful for semantic search outside of FastGPT. Generate text embeddings
list_apps
List AI applications
list_dataset_data
List data items in a dataset
list_datasets
Can filter by parentId or search keyword. List knowledge base datasets
push_dataset_data
Add or update data in a dataset
search_dataset_data
Perform semantic search on a dataset
update_dataset_data
Update existing data in a dataset
Example Prompts for FastGPT in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FastGPT immediately.
"List all my AI applications in FastGPT."
"Search dataset 'ds_123' for 'company refund policy'."
"Create a new dataset named 'Internal Documentation'."
Troubleshooting FastGPT MCP Server with Vercel AI SDK
Common issues when connecting FastGPT to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFastGPT + Vercel AI SDK FAQ
Common questions about integrating FastGPT 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 FastGPT 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 FastGPT to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.