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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LangGraph Cloud MCP Server : voyez votre AI Agent en action
Capacités intégrées (10)
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
Ce que ce connecteur débloque
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
Questions fréquemment posées
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