LangGraph Cloud (Stateful AI Agents) MCP Server
Orchestrate stateful AI agents via LangGraph Cloud — manage assistants, monitor conversation threads, and handle human-in-the-loop overrides.
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What is the LangGraph Cloud MCP Server?
The LangGraph Cloud MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to LangGraph Cloud via 10 tools. Orchestrate stateful AI agents via LangGraph Cloud — manage assistants, monitor conversation threads, and handle human-in-the-loop overrides. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate LangGraph Cloud
Ask your AI agent "List all deployed assistants in my LangGraph Cloud account" and get the answer without opening a single dashboard. With 10 tools connected to real LangGraph Cloud data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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LangGraph Cloud (Stateful AI Agents) MCP Server capabilities
10 toolsInterrupt and cancel an ongoing graph execution run
Execute an assistant run on a specific thread with an input payload
Create a new LangGraph thread to hold conversational state
Get complete details and status of a specific language graph run
g., current messages array or structured outputs) generated by the LangGraph application. Retrieve the exact state graph and variables for a specific thread
List LangGraph deployed assistants (graph configurations)
List active scheduled cron jobs automating agent runs
List execution runs assigned to a specific thread
List active LangGraph conversation threads
Manually override or update a thread state graph
What the LangGraph Cloud (Stateful AI Agents) MCP Server unlocks
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.
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
How it works
1. Subscribe to this server
2. Enter your LangGraph API URL and API Key
3. Start managing your agentic infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Agentic Developers — debug stateful multi-turn agents and verify graph traversal paths through natural conversation
- AI Platform Engineers — monitor deployed assistants and manage cloud-based checkpoints across multiple team environments
- Ops Teams — audit scheduled crons and manage execution runs to ensure reliable delivery of automated AI workflows
Frequently asked questions about the LangGraph Cloud (Stateful AI Agents) MCP Server
Can I manually approve an agent's step using this server?
Yes. Use the update_thread_state tool 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 tool 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 tool 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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Give your AI agents the power of LangGraph Cloud MCP Server
Production-grade LangGraph Cloud (Stateful AI Agents) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






