LangGraph Cloud (Stateful AI Agents) MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect LangGraph Cloud (Stateful AI Agents) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"langgraph-cloud-stateful-ai-agents": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "LangGraph Cloud (Stateful AI Agents) Agent",
instructions:
"You help users interact with LangGraph Cloud (Stateful AI Agents) " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with LangGraph Cloud (Stateful AI Agents)?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and LangGraph Cloud (Stateful AI Agents) tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the LangGraph Cloud (Stateful AI Agents) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from LangGraph Cloud (Stateful AI Agents) via MCP
Why Use Mastra AI with the LangGraph Cloud (Stateful AI Agents) MCP Server
Mastra AI provides unique advantages when paired with LangGraph Cloud (Stateful AI Agents) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add LangGraph Cloud (Stateful AI Agents) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every LangGraph Cloud (Stateful AI Agents) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
LangGraph Cloud (Stateful AI Agents) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the LangGraph Cloud (Stateful AI Agents) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query LangGraph Cloud (Stateful AI Agents), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed LangGraph Cloud (Stateful AI Agents) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query LangGraph Cloud (Stateful AI Agents) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using LangGraph Cloud (Stateful AI Agents) tools alongside other MCP servers
LangGraph Cloud (Stateful AI Agents) MCP Tools for Mastra AI (10)
These 10 tools become available when you connect LangGraph Cloud (Stateful AI Agents) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting LangGraph Cloud (Stateful AI Agents) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLangGraph Cloud (Stateful AI Agents) + Mastra AI FAQ
Common questions about integrating LangGraph Cloud (Stateful AI Agents) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.