LangGraph Cloud (Stateful AI Agents) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LangGraph Cloud (Stateful AI Agents) through the 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 LangGraph Cloud (Stateful AI Agents), 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 LangGraph Cloud (Stateful AI Agents) MCP Server
Connect your LangGraph Cloud account to any AI agent and take full control of your stateful multi-turn agents and complex graph-based AI workflows through natural conversation.
The Vercel AI SDK gives every LangGraph Cloud (Stateful AI Agents) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Assistant Orchestration — List deployed assistants representing compiled LangGraph applications ready to process stateful workloads directly from your agent
- Thread Management — Create and monitor conversation threads to maintain long-term memory buffers explicitly managed by cloud checkpoints
- State Inspection & Override — Retrieve the exact execution state of a thread and perform manual node overrides for human-in-the-loop approvals or mid-execution adjustments
- Run Control — Trigger fresh graph executions with specific input payloads and monitor or cancel asynchronous runs to manage system resources
- Cron Automation Audit — List scheduled background jobs configured to autonomously trigger LangGraph execution runs periodically
- History Tracking — Extract historical run steps indicating explicit graph invocations and internal reasoning paths within a stateful thread
The LangGraph Cloud (Stateful AI Agents) MCP Server exposes 10 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 LangGraph Cloud (Stateful AI Agents) to Vercel AI SDK via MCP
Follow these steps to integrate the LangGraph Cloud (Stateful AI Agents) 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 10 tools from LangGraph Cloud (Stateful AI Agents) and passes them to the LLM
Why Use Vercel AI SDK with the LangGraph Cloud (Stateful AI Agents) MCP Server
Vercel AI SDK provides unique advantages when paired with LangGraph Cloud (Stateful AI Agents) 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 LangGraph Cloud (Stateful AI Agents) integration everywhere
Built-in streaming UI primitives let you display LangGraph Cloud (Stateful AI Agents) 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
LangGraph Cloud (Stateful AI Agents) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LangGraph Cloud (Stateful AI Agents) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LangGraph Cloud (Stateful AI Agents) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LangGraph Cloud (Stateful AI Agents) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LangGraph Cloud (Stateful AI Agents) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LangGraph Cloud (Stateful AI Agents) through natural language queries
LangGraph Cloud (Stateful AI Agents) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect LangGraph Cloud (Stateful AI Agents) to Vercel AI SDK via MCP:
cancel_run
Interrupt and cancel an ongoing graph execution run
create_run
Execute an assistant run on a specific thread with an input payload
create_thread
Create a new LangGraph thread to hold conversational state
get_run
Get complete details and status of a specific language graph run
get_thread_state
g., current messages array or structured outputs) generated by the LangGraph application. Retrieve the exact state graph and variables for a specific thread
list_assistants
List LangGraph deployed assistants (graph configurations)
list_crons
List active scheduled cron jobs automating agent runs
list_runs
List execution runs assigned to a specific thread
list_threads
List active LangGraph conversation threads
update_thread_state
Manually override or update a thread state graph
Example Prompts for LangGraph Cloud (Stateful AI Agents) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LangGraph Cloud (Stateful AI Agents) immediately.
"List all deployed assistants in my LangGraph Cloud account"
"Show me the current state for thread ID 'abc-123-xyz'"
"List all active scheduled crons in my account"
Troubleshooting LangGraph Cloud (Stateful AI Agents) MCP Server with Vercel AI SDK
Common issues when connecting LangGraph Cloud (Stateful AI Agents) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLangGraph Cloud (Stateful AI Agents) + Vercel AI SDK FAQ
Common questions about integrating LangGraph Cloud (Stateful AI Agents) 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 LangGraph Cloud (Stateful AI Agents) with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect LangGraph Cloud (Stateful AI Agents) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.