LangGraph Cloud (Stateful AI Agents) MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect LangGraph Cloud (Stateful AI Agents) through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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{
"mcpServers": {
"langgraph-cloud-stateful-ai-agents": {
"url": "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.
Windsurf's Cascade agent chains multiple LangGraph Cloud (Stateful AI Agents) tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the LangGraph Cloud (Stateful AI Agents) MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using LangGraph Cloud (Stateful AI Agents)
Open Cascade and ask: "Using LangGraph Cloud (Stateful AI Agents), help me..." — 10 tools available
Why Use Windsurf with the LangGraph Cloud (Stateful AI Agents) MCP Server
Windsurf provides unique advantages when paired with LangGraph Cloud (Stateful AI Agents) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
LangGraph Cloud (Stateful AI Agents) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the LangGraph Cloud (Stateful AI Agents) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from LangGraph Cloud (Stateful AI Agents) and generate models, types, or handlers based on real API responses
Live debugging: query LangGraph Cloud (Stateful AI Agents) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from LangGraph Cloud (Stateful AI Agents) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine LangGraph Cloud (Stateful AI Agents) data with Cascade's code generation to scaffold entire features in minutes
LangGraph Cloud (Stateful AI Agents) MCP Tools for Windsurf (10)
These 10 tools become available when you connect LangGraph Cloud (Stateful AI Agents) to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting LangGraph Cloud (Stateful AI Agents) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
LangGraph Cloud (Stateful AI Agents) + Windsurf FAQ
Common questions about integrating LangGraph Cloud (Stateful AI Agents) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect LangGraph Cloud (Stateful AI Agents) with your favorite client
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Connect LangGraph Cloud (Stateful AI Agents) to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.