Conversation State Machine Connector for AI agents.
3 live capabilities
Enforce deterministic logic for agentic conversation flows
Waiting for input…
Why people use Conversation State Machine
Stop agent drift with Conversation State Machine logic
With this MCP, you aren't just shouting instructions; you're building a track for the agent to run on. You define the start, the middle, and the end. Instead of hoping the agent stays on task, you've built a system where it physically cannot move to the next step until the current one is finished. You get predictable, repeatable results every time.
What Vinkius changes
That this MCP turns unpredictable chat into a reliable, step-by-step process.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Strict Customer Onboarding
An agent needs to collect a name, email, and account type.
- Real-world use case 02
Compliance-Driven Support
A support agent must verify a user's identity and account number before discussing sensitive billing details.
- Real-world use case 03
Guided Troubleshooting
An agent walks a user through a technical checklist, only moving to the next step once the previous hardware check is confirmed.
Complete set · 3capabilities
The complete Conversation State Machine capability set.
These are the exact actions your AI can choose when you ask it to work with Conversation State Machine.
01—03
3 capabilities in this set.
Part of 3 available through Conversation State Machine.
- 01 Capability
Get current context
Checks the current state of the conversation. Use this to see exactly where the user is in the flow.
- 02 Capability
Initialize fsm
Sets up a new state machine. This creates the logical structure for your conversation flow.
- 03 Capability
Process turn
Evaluates the latest user message. This moves the conversation to the next logical state.
Set up in minutes
One URL. Then ask Conversation State Machine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Conversation State Machine from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Conversation State Machine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Conversation State Machine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Conversation State Machine URL.
- Step 03
Save and start
Save the connection and enable Conversation State Machine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"conversation-state-machine": {
"url": "https://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Conversation State Machine
Open Agent mode in chat and ask: "Using Conversation State Machine, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"conversation-state-machine": {
"url": "https://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Conversation State Machine
Ask Copilot: "Using Conversation State Machine, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"conversation-state-machine": {
"url": "https://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Conversation State Machine
Open Cascade and ask: "Using Conversation State Machine, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"conversation-state-machine": {
"url": "https://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Conversation State Machine
Ask Cline: "Using Conversation State Machine, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add conversation-state-machine --transport http "https://edge.vinkius.com/vk_preview_hJFcajDv8B5dbsu57MATXz9NIRSdBOFA3iCHEoGr/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Conversation State Machine
Ask Claude: "Using Conversation State Machine, show me...". 3 tools are ready
Where the request belongs
Work Conversation State Machine can move forward.
This is for developers and product owners building autonomous agents that need to follow strict business rules or compliance workflows.
AI Engineer
Building complex agentic workflows that require deterministic behavior rather than probabilistic guessing.
Product Manager
Designing user onboarding or support flows where the agent must collect specific data before proceeding.
Conversation Designer
Mapping out precise dialogue trees to ensure brand consistency and task completion.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Connect your X Ads account to any AI agent. audit campaigns, analyze line item performance, and pull engagement reports through natural conversation.
Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Conversation State Machine connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Conversation State Machine.
The practical details behind the request, access and result.
How does the Conversation State Machine MCP prevent AI agents from going off-topic?
It forces the agent to follow a predefined path. The agent can only move to a new state if the specific conditions for that transition are met, preventing it from jumping ahead or wandering into unrelated topics.
Can I use the Conversation State Machine MCP for simple chatbots?
If your chatbot needs to follow a specific sequence, like a survey or a checkout process, then yes. If you just want a casual chat partner, a state machine might be too restrictive for your needs.
How do I know if my agent is following the correct flow?
You can check the current status at any time to see exactly which state the conversation is in and what the next required step is, ensuring everything stays on track.
Is the Conversation State Machine MCP compatible with Claude and Cursor?
Yes, this MCP works with any client that supports the Model Context Protocol, including Claude, Cursor, and Windsurf.
What happens if a user provides unexpected information?
The system evaluates the input against the current state's rules. If the input doesn't trigger a valid transition, the agent stays in its current state and can prompt the user to provide the correct information.
How does the state machine prevent conversation drift?
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.
Can I trigger transitions based on capability results?
Yes, you can use the tool_result_status trigger to move to a new state based on whether the last capability execution was a success or a failure.
What happens if no transition condition is met?
If no trigger conditions match the current input, the agent remains in its current state.
One connection away
Give your agent a direct line to Conversation State Machine.
Connect Conversation State Machine once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available