What can this MCP do for narrative designers?

It provides capabilities to analyze tree depth, branching factors, and localization costs. It also helps validate that your dialogue trees meet structural requirements like minimum ending counts.

How does it estimate localization costs?

The MCP uses word counts from your nodes and a cost-per-word variable to provide a mathematical estimate of translation expenses.

Which AI clients can use this MCP?

You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

Can I use this to check for broken dialogue paths?

Yes, the validate_tree_integrity capability allows you to check if your tree meets specific requirements, such as having a certain number of endings.

Does this MCP require me to host anything?

No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

How do I calculate localization costs?

You can use the analyze_tree_complexity capability by providing a costPerWord value. The capability will multiply the total word count of all nodes by this value.

What is a 'High Branching' flag?

A 'HIGH_BRANCHING' flag is triggered if the branching factor (total branches divided by total nodes) exceeds the threshold you set in analyze_tree_complexity.

Can I check if my story has enough endings?

Yes, use the validate_tree_integrity capability and specify the requiredMinEndings parameter to check if your terminal nodes meet your design goals.

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Connect Dialogue Tree Complexity Analyzer to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Measure branching depth and estimate localization budgets instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Dialogue Tree Analyzer.

01
Analyze tree complexity
This capability calculates branching factors, tree depth, and estimated localization costs for your dialogue structures.
02
Get node statistics
Use this to pull word counts and conditional node ratios from your existing dialogue data.
03
Validate tree integrity
This capability checks if your dialogue tree meets specific requirements, such as having a minimum number of endings.

Real work

What teams actually run

Localization Budgeting

Estimate how much it will cost to translate a dialogue tree before you start the process.

Complexity Management

Monitor branching factors to prevent dialogue trees from becoming too difficult to manage.

Quality Assurance

Verify that every dialogue path leads to a valid ending.

Narrative Density Analysis

Check word counts and node ratios to ensure consistent pacing across different story branches.

One connector, every AI

Dialogue Tree Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Dialogue Tree Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

873ms average. Fast in production.

Dialogue Tree Analyzer is checked daily against the live service.

Daily averagePeak 1019ms

Oct 3Today

Fastest day: 751ms
Slowest day: 1019ms
14-day trend: Improving-8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Dialogue Tree Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Dialogue Tree Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Dialogue Tree Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_RjTyplSU0O5wzDC43VU2GyW7mHhlHdpDBSkggIh7/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Dialogue Tree Analyzer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "dialogue-tree-complexity-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RjTyplSU0O5wzDC43VU2GyW7mHhlHdpDBSkggIh7/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Dialogue Tree Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Dialogue Tree Analyzer owners hand off.

This MCP is built for technical narrative teams working on branching story systems.

01
Narrative Designer
Uses the capability to manage complexity and ensure story flow meets design goals.
02
Localization Manager
Uses the data to estimate translation costs before production begins.
03
Game Producer
Uses structural metrics to track narrative scope and budget.

FAQ

Questions Dialogue Tree Analyzer owners ask.

01
What can this MCP do for narrative designers?
It provides capabilities to analyze tree depth, branching factors, and localization costs. It also helps validate that your dialogue trees meet structural requirements like minimum ending counts.
02
How does it estimate localization costs?
The MCP uses word counts from your nodes and a cost-per-word variable to provide a mathematical estimate of translation expenses.
03
Which AI clients can use this MCP?
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
04
Can I use this to check for broken dialogue paths?
Yes, the validate_tree_integrity capability allows you to check if your tree meets specific requirements, such as having a certain number of endings.
05
Does this MCP require me to host anything?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
06
How do I calculate localization costs?
You can use the analyze_tree_complexity capability by providing a costPerWord value. The capability will multiply the total word count of all nodes by this value.
07
What is a 'High Branching' flag?
A 'HIGH_BRANCHING' flag is triggered if the branching factor (total branches divided by total nodes) exceeds the threshold you set in analyze_tree_complexity.
08
Can I check if my story has enough endings?
Yes, use the validate_tree_integrity capability and specify the requiredMinEndings parameter to check if your terminal nodes meet your design goals.

Explore

More in Data Analysis

Connect Dialogue Tree Analyzer to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze tree complexity

Get node statistics

Validate tree integrity

What teams actually run

Localization Budgeting

Complexity Management

Quality Assurance

Narrative Density Analysis

Building your own app? The connector is yours to use.

Dialogue Tree Analyzer Connector

Claude Desktop

Narrative Designer

Localization Manager

Game Producer

What can this MCP do for narrative designers?

How does it estimate localization costs?

Which AI clients can use this MCP?

Can I use this to check for broken dialogue paths?

Does this MCP require me to host anything?

How do I calculate localization costs?

What is a 'High Branching' flag?

Can I check if my story has enough endings?

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