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Vinkius

LangGraph Cloud (Stateful AI Agents) Connector for AI agents.

10 live capabilities

Manage stateful graph workflows and human-in-the-loop overrides without leaving your editor.

Live agent request LangGraph Cloud (Stateful AI Agents) / Connector

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AI Agent

Why people use LangGraph Cloud (Stateful AI Agents)

LangGraph Cloud for Solving Production Agent Bottlenecks

This Connector puts your LangGraph Cloud environment directly into your primary workspace. You can see exactly where an agent is stuck, peek at the variables it's holding, and manually nudge it forward. It turns a multi-tab management headache into a direct conversation.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get full control over your LangGraph Cloud agents without leaving your AI client.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Debugging stuck approval steps

    An agent stops at a human_review node.

  2. Real-world use case 02

    Auditing failed scheduled jobs

    The daily summary bot failed.

  3. Real-world use case 03

    Verifying reasoning paths

    Check how a multi-turn support agent reached a conclusion by pulling historical run steps for a specific thread.

Complete set · 10capabilities

The complete LangGraph Cloud (Stateful AI Agents) capability set.

These are the exact actions your AI can choose when you ask it to work with LangGraph Cloud (Stateful AI Agents).

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through LangGraph Cloud (Stateful AI Agents).

  1. 01 Capability

    List runs

    List all execution runs assigned to a specific thread. Use this to track the history of a single conversation.

  2. 02 Capability

    List threads

    List all active conversation threads. This gives you a high-level view of all ongoing interactions.

  3. 03 Capability

    Update thread state

    Manually override or update a thread state graph. Use this to force an agent into a specific node or change its variables.

  4. 04 Capability

    Cancel run

    Stop an ongoing graph execution immediately. Use this when a run is behaving unexpectedly or you need to free up resources.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through LangGraph Cloud (Stateful AI Agents).

  1. 05 Capability

    Create run

    Trigger a new assistant run on a specific thread with your own input payload. This is perfect for testing specific scenarios.

  2. 06 Capability

    Create thread

    Start a new conversation thread to hold state. This creates a unique space for a new multi-turn interaction.

  3. 07 Capability

    List crons

    List all active scheduled cron jobs. This is the best way to audit your automated background tasks.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through LangGraph Cloud (Stateful AI Agents).

  1. 08 Capability

    Get run

    Get the full details and status of a specific graph run. Use this to see if a task finished successfully or hit an error.

  2. 09 Capability

    Get thread state

    Retrieve the exact state graph and variables for a specific thread. This lets you see the internal data of a conversation.

  3. 10 Capability

    List assistants

    See all the assistants you have deployed in your LangGraph Cloud account. This helps you identify which graph configurations are currently active.

Set up in minutes

One URL. Then ask LangGraph Cloud (Stateful AI Agents) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LangGraph Cloud (Stateful AI Agents) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_W9eYJ3x7BufqP9zavlkhkY5HUux0v9z8z0xZYWei/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it LangGraph Cloud (Stateful AI Agents), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable LangGraph Cloud (Stateful AI Agents) for the conversation.

Where the request belongs

Work LangGraph Cloud can move forward.

Built around the request

This is for the AI engineer who needs to debug complex stateful graphs and the ops lead who needs to audit production agent schedules without opening a dozen browser tabs.

01

AI Agentic Developer

Debugs stateful multi-turn agents and verifies graph traversal paths during development.

02

AI Platform Engineer

Monitors deployed assistants and manages cloud-based checkpoints across team environments.

03

Ops Team Member

Audits scheduled cron jobs and manages execution runs to ensure reliable delivery of automated workflows.

Build the capability set

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Bring your own AI

Change the model, client or framework. Keep LangGraph Cloud connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about LangGraph Cloud.

The practical details behind the request, access and result.

Can I use the LangGraph Cloud MCP to see where my agent got stuck?

Yes. You can retrieve the exact state graph and variables for any specific thread to see exactly which node the agent is currently on and what data it is holding.

How does the LangGraph Cloud MCP help with human-in-the-loop approvals?

It allows you to inspect the state of a thread waiting for approval and manually update the variables to force the agent to proceed to the next step.

Can I use the LangGraph Cloud MCP to manage my scheduled AI jobs?

Yes. You can list all active scheduled cron jobs and audit their execution history directly from your AI client.

Does the LangGraph Cloud MCP let me change an agent's state manually?

Yes. You can manually override or update a thread state graph to adjust variables or push the agent into a specific node for debugging or testing.

How do I see the history of a specific conversation with LangGraph Cloud MCP?

You can list all execution runs assigned to a specific thread, which gives you a chronological history of how the agent handled that conversation.

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.

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.

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.

One connection away

Give your agent a direct line to LangGraph Cloud.

Connect LangGraph Cloud once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available