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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LangGraph Cloud with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Orchestrate stateful AI agents via LangGraph Cloud. manage assistants, monitor conversation threads, and handle human-in-the-loop overrides.

Included with plan

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

Complete set · 10 capabilities

The complete LangGraph Cloud capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through LangGraph Cloud.

  1. 01

    List threads

    List active LangGraph conversation threads

  2. 02

    Update thread state

    Manually override or update a thread state graph

  3. 03

    Cancel run

    Interrupt and cancel an ongoing graph execution run

  4. 04

    Create run

    Execute an assistant run on a specific thread with an input payload

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through LangGraph Cloud.

  1. 05

    List runs

    List execution runs assigned to a specific thread

  2. 06

    Create thread

    Create a new LangGraph thread to hold conversational state

  3. 07

    List crons

    List active scheduled cron jobs automating agent runs

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through LangGraph Cloud.

  1. 08

    Get run

    Get complete details and status of a specific language graph run

  2. 09

    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

  3. 10

    List assistants

    List LangGraph deployed assistants (graph configurations)

Observed, not estimated

848ms average. Fast in production.

LangGraph Cloud is checked daily against the live service.

Daily averagePeak 1010ms
Aug 20Today
Fastest day
691ms
Slowest day
1010ms
14-day trend
Slowing+15%

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

FAQ

Questions LangGraph Cloud owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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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