What languages does this MCP support?

This MCP is designed specifically for analyzing English text notes.

How do I use this with Claude or Cursor?

You connect to the MCP through the Vinkius platform, which hosts the capability for you. Once connected, your client can call the capabilities directly.

Can the agent tell me the main topic of a note?

Yes, the agent can use the note summary capability to find the top keyword or use word frequency to identify themes.

What is linguistic density?

It is a score that measures the diversity of the vocabulary used within a note.

Do I need to host this myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

What languages are supported?

This server is specialized for English text only to ensure metric accuracy.

How do I check the word count of a specific note?

You can use the get_word_count capability by providing the unique identifier of the note.

Can I see which words are most common?

Yes, the get_word_frequency capability returns a list of words and their occurrence counts.

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Connect Note Word Count to ChatGPT, Claude and Gemini

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. Give your AI agent precise metrics for any English note.

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.

How Vinkius works: one connection, every tool, in any AI

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.

Complete set · 4 capabilities

The complete Note Word Count capability set.

These are the exact actions your AI can choose when you ask it to work with Note Word Count.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Note Word Count.

01
Get linguistic density
This capability calculates a linguistic density score to show how diverse the vocabulary is in a note.
02
Get note summary
This capability provides a high-level overview of a note, including total word count, unique word count, and the primary keyword.
03
Get word count
This capability returns the exact total number of words found in a note.
04
Get word frequency
This capability generates a list of every word in a note and how many times each one appears.

One connector, every AI

Note Word Count 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 Note Word Count 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.

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Note Word Count, so you can see the experience inside your AI.

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

Note Word Count Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_enDW5J30nXfdqEgLNn7oHYir0IFSeiQgM2BZcuk5/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 — Note Word Count capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "note-word-count-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_enDW5J30nXfdqEgLNn7oHYir0IFSeiQgM2BZcuk5/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? How to give Claude access to Note Word Count

See all the AI clients this connector works with ↑

Who it's for

Built for the work Note Word Count owners hand off.

This MCP is for anyone who needs to move from reading text to analyzing its structure. It is useful for professionals who handle large volumes of written notes.

01
Editors
They hand off text to an agent to check for word counts and repetitive language.
02
Researchers
They use the agent to extract keyword frequencies from large sets of qualitative notes.
03
Content Strategists
They task their agent with measuring the linguistic complexity of different drafts.

FAQ

Questions Note Word Count owners ask.

01
What languages does this MCP support?
This MCP is designed specifically for analyzing English text notes.
02
How do I use this with Claude or Cursor?
You connect to the MCP through the Vinkius platform, which hosts the capability for you. Once connected, your client can call the capabilities directly.
03
Can the agent tell me the main topic of a note?
Yes, the agent can use the note summary capability to find the top keyword or use word frequency to identify themes.
04
What is linguistic density?
It is a score that measures the diversity of the vocabulary used within a note.
05
Do I need to host this myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.
06
What languages are supported?
This server is specialized for English text only to ensure metric accuracy.
07
How do I check the word count of a specific note?
You can use the get_word_count capability by providing the unique identifier of the note.
08
Can I see which words are most common?
Yes, the get_word_frequency capability returns a list of words and their occurrence counts.

Explore

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Connect Note Word Count to Claude, Cursor, ChatGPT & more

Connect Note Word Count to ChatGPT, Claude and Gemini

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