Conversation State Machine

Conversation State Machine MCP Connector for Claude

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Enforce structured, deterministic conversation flows for AI agents.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

Manage multi-turn agent interactions with a deterministic finite state machine (FSM). This MCP allows agents to move through predefined states like 'Greeting' or 'Data_Collection' using specific triggers such as keyword_match, intent_classifier, or turn_count_threshold. It prevents unstructured conversation drift by ensuring every transition is logically validated. Use initialize_fsm to set up your flow, process_turn to advance based on user input, and get_current_context to monitor the conversation status.

fsmdeterministicagent-flowstate-machineconversation-management

3 tools expose this connector's capabilities to your AI agent.

get_current_context

Provides a snapshot of the current conversational flow

initialize_fsm

Sets up and validates a new conversation state machine

process_turn

Advances the conversation by evaluating the latest interaction

See how to talk to your AI agent using Conversation State Machine.

Initialize a simple two-state machine with a START and an END state.

The state machine has been initialized with states START and END.

The user said 'hello', advance the conversation.

The conversation has moved to the next state.

Check the current status of the conversation.

The current state is 'Data_Collection' and there are 2 available transitions.

It uses deterministic transitions. A transition only occurs when a specific trigger condition, such as a `keyword_match`, is met, ensuring the agent follows a predefined path.

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