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Connect Langgraph Cloud Stateful AI Agents to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage complex agentic workflows through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through LangGraph Cloud.

  1. 01

    List threads

    This capability retrieves a list of all active LangGraph conversation threads currently in your account.

  2. 02

    Cancel run

    This capability stops and cancels an ongoing graph execution run immediately.

  3. 03

    Create thread

    Use this to initialize a new LangGraph thread to hold conversational state.

  4. 04

    Create run

    This capability starts a new assistant execution on a specific thread using a provided input payload.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through LangGraph Cloud.

  1. 05

    Get thread state

    This capability pulls the exact state graph and variables, such as message arrays, for a specific thread.

  2. 06

    List runs

    This capability provides a list of all execution runs associated with a specific thread.

  3. 07

    List assistants

    This capability returns a list of all LangGraph assistants and their compiled graph configurations.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through LangGraph Cloud.

  1. 08

    Get run

    This capability fetches the full details and current status of a specific LangGraph execution run.

  2. 09

    List crons

    This capability lists all active scheduled cron jobs that are set to trigger agent runs automatically.

  3. 10

    Update thread state

    Use this to manually override or modify the state graph of a specific thread.

Real work

What teams actually run

01

Debugging Agent Logic

An engineer inspects the state of a specific thread to see why an agent stalled at a particular node.

02

Human Approval Workflows

A user reviews a generated draft by checking the thread state and providing a manual override to proceed.

03

Managing Automated Tasks

An ops specialist checks the status of scheduled cron jobs to ensure daily summary bots are running.

04

Resource Management

A developer cancels a long-running or stuck execution to free up system resources.

Automate a task

Put LangGraph Cloud to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

LangGraph Cloud works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put LangGraph Cloud to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

886ms average. Fast in production.

LangGraph Cloud is checked daily against the live service.

Daily averagePeak 1110ms
Oct 3Today
Fastest day
677ms
Slowest day
1110ms
14-day trend
Slowing+38%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LangGraph Cloud, so you can see the experience inside your AI.

It does not authenticate your account with LangGraph Cloud. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LangGraph Cloud Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_W9eYJ3x7BufqP9zavlkhkY5HUux0v9z8z0xZYWei/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LangGraph Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "langgraph-cloud-stateful-ai-agents-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_W9eYJ3x7BufqP9zavlkhkY5HUux0v9z8z0xZYWei/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up LangGraph Cloud in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LangGraph Cloud owners hand off.

This MCP is built for technical teams managing production-grade agentic workflows.

  • 01

    AI Agentic Developers

    They use the MCP to debug multi-turn agents and verify graph traversal paths.

  • 02

    AI Platform Engineers

    They use it to monitor deployed assistants and manage cloud checkpoints.

  • 03

    Ops Teams

    They use it to audit scheduled crons and manage execution runs for reliability.

FAQ

Questions LangGraph Cloud owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 02

    How do I manage my LangGraph assistants?

    You can list your deployed assistants and trigger new runs on them directly through your AI client.

  • 03

    Can I stop an agent that is currently running?

    Yes, you can use the cancel run capability to interrupt and stop an ongoing graph execution.

  • 04

    How does this handle human-in-the-loop workflows?

    The MCP allows you to retrieve the exact state of a thread and perform manual node overrides to approve or adjust actions.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your credentials.

  • 06

    Can I manually approve an agent's step using this server?

    Yes. Use the update_thread_state capability to perform manual node state overrides. This is the standard way to implement human-in-the-loop (HITL) patterns, allowing you to modify or approve graph variables directly mid-execution.

  • 07

    How do I see the current memory of a conversation thread?

    The get_thread_state capability retrieves the exact execution state of a thread, including all cyclical node variables and structured outputs stored in the cloud checkpoints. This gives your agent full visibility into the conversation history.

  • 08

    Can my agent trigger a new run on an existing thread?

    Absolutely. Use the create_run capability and provide the Thread ID, Assistant ID, and your new input payload. Your agent will fire the graph dynamically, allowing for multi-turn engagements within the same stateful boundary.

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