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Chaindesk MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Agent, Delete Agent, Get Agent, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chaindesk through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Chaindesk app connector for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Chaindesk, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Chaindesk MCP Server

Connect your Chaindesk.ai account to any AI agent and take full control of your custom LLM orchestration and automated knowledge retrieval workflows through natural conversation.

The Vercel AI SDK gives every Chaindesk 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.

What you can do

  • Agent Orchestration — Create and manage multiple high-fidelity AI agent instances programmatically, including configuring system prompts and model selection
  • Knowledge Graph Ingestion — Programmatically upsert data sources (website URLs, text, documents) into connected datastores to maintain a real-time knowledge base
  • Deep Semantic Querying — Interact with your custom agents to retrieve context-aware AI responses based on your proprietary data and high-fidelity grounding
  • Conversation Intelligence — Access complete session histories and message threads to provide perfectly coordinated context for support and research tasks
  • Datastore Monitoring — Access and monitor your directory of knowledge collections (datastores) and their status directly through your agent for instant reporting

The Chaindesk 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.

All 11 Chaindesk tools available for Vercel AI SDK

When Vercel AI SDK connects to Chaindesk through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-training, custom-chatbots, knowledge-retrieval, 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.

create_agent

Provide name, datastoreId, and system prompt. Create a new AI agent

delete_agent

Delete an agent

get_agent

Get details of a specific agent

get_datastore

Get details of a datastore

get_messages

Get messages from a conversation

list_agents

List all AI agents

list_conversations

Can be filtered by agentId. List chat conversations

list_datastores

List all datastores

query_agent

Send a message to an agent

update_agent

Update an existing agent

upsert_datasource

Add or update a data source

Connect Chaindesk to Vercel AI SDK via MCP

Follow these steps to wire Chaindesk into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Chaindesk and passes them to the LLM

Why Use Vercel AI SDK with the Chaindesk MCP Server

Vercel AI SDK provides unique advantages when paired with Chaindesk through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Chaindesk integration everywhere

03

Built-in streaming UI primitives let you display Chaindesk tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Chaindesk + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Chaindesk MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Chaindesk in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Chaindesk tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Chaindesk capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Chaindesk through natural language queries

Example Prompts for Chaindesk in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chaindesk immediately.

01

"List all my available AI agents in Chaindesk."

02

"Ask my 'Support Bot' (ID: 'agent_1'): 'How do I reset my password?'."

03

"Add 'https://vinkius.com/faq' to datastore 'ds_123'."

Troubleshooting Chaindesk MCP Server with Vercel AI SDK

Common issues when connecting Chaindesk to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Chaindesk + Vercel AI SDK FAQ

Common questions about integrating Chaindesk MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.