LangGraph Cloud (Stateful AI Agents) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LangGraph Cloud (Stateful AI Agents) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to LangGraph Cloud (Stateful AI Agents). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in LangGraph Cloud (Stateful AI Agents)?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine LangGraph Cloud (Stateful AI Agents) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the LangGraph Cloud (Stateful AI Agents) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from LangGraph Cloud (Stateful AI Agents)
Why Use LlamaIndex with the LangGraph Cloud (Stateful AI Agents) MCP Server
LlamaIndex provides unique advantages when paired with LangGraph Cloud (Stateful AI Agents) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine LangGraph Cloud (Stateful AI Agents) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain LangGraph Cloud (Stateful AI Agents) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query LangGraph Cloud (Stateful AI Agents), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what LangGraph Cloud (Stateful AI Agents) tools were called, what data was returned, and how it influenced the final answer
LangGraph Cloud (Stateful AI Agents) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the LangGraph Cloud (Stateful AI Agents) MCP Server delivers measurable value.
Hybrid search: combine LangGraph Cloud (Stateful AI Agents) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query LangGraph Cloud (Stateful AI Agents) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying LangGraph Cloud (Stateful AI Agents) for fresh data
Analytical workflows: chain LangGraph Cloud (Stateful AI Agents) queries with LlamaIndex's data connectors to build multi-source analytical reports
LangGraph Cloud (Stateful AI Agents) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect LangGraph Cloud (Stateful AI Agents) to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting LangGraph Cloud (Stateful AI Agents) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLangGraph Cloud (Stateful AI Agents) + LlamaIndex FAQ
Common questions about integrating LangGraph Cloud (Stateful AI Agents) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect LangGraph Cloud (Stateful AI Agents) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.