LangGraph Cloud (Stateful AI Agents) MCP Server for Claude Code 10 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add LangGraph Cloud (Stateful AI Agents) as an MCP server in one command and Claude Code will discover every tool at runtime — ideal for automation pipelines, CI/CD integration, and headless workflows via the Vinkius.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install LangGraph Cloud (Stateful AI Agents) and 2,500+ MCP Servers from a single visual interface.
# Your Vinkius token — get it at cloud.vinkius.com
claude mcp add langgraph-cloud-stateful-ai-agents --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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.
Claude Code registers LangGraph Cloud (Stateful AI Agents) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly — ideal for CI/CD pipelines, cron jobs, and automated workflows where LangGraph Cloud (Stateful AI Agents) data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the LangGraph Cloud (Stateful AI Agents) MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using LangGraph Cloud (Stateful AI Agents)
Ask Claude: "Using LangGraph Cloud (Stateful AI Agents), show me..." — 10 tools are ready
Why Use Claude Code with the LangGraph Cloud (Stateful AI Agents) MCP Server
Claude Code provides unique advantages when paired with LangGraph Cloud (Stateful AI Agents) through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly — no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using LangGraph Cloud (Stateful AI Agents) tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
LangGraph Cloud (Stateful AI Agents) + Claude Code Use Cases
Practical scenarios where Claude Code combined with the LangGraph Cloud (Stateful AI Agents) MCP Server delivers measurable value.
CI/CD integration: embed LangGraph Cloud (Stateful AI Agents) tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query LangGraph Cloud (Stateful AI Agents) nightly and generate reports without human intervention
Shell scripting: pipe LangGraph Cloud (Stateful AI Agents) outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query LangGraph Cloud (Stateful AI Agents) status endpoints and alert on anomalies
LangGraph Cloud (Stateful AI Agents) MCP Tools for Claude Code (10)
These 10 tools become available when you connect LangGraph Cloud (Stateful AI Agents) to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting LangGraph Cloud (Stateful AI Agents) to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
LangGraph Cloud (Stateful AI Agents) + Claude Code FAQ
Common questions about integrating LangGraph Cloud (Stateful AI Agents) MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect LangGraph Cloud (Stateful AI Agents) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LangGraph Cloud (Stateful AI Agents) to Claude Code
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.