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Connect String Metrics Analyzer to ChatGPT and Claude

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. Stop relying on LLM guesses for character and word counts.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through String Analyzer.

  1. 01

    Analyze string metrics

    This capability calculates exact character counts, word counts, and similarity scores like Levenshtein distance. It provides the deterministic math needed to bypass tokenization errors or perform fuzzy matching.

Real work

What teams actually run

01

SEO Length Validation

Verify that an AI-generated meta description fits perfectly within search engine limits.

02

Data Deduplication

Use similarity scores to identify and remove duplicate entries in a text list.

03

Keyword Auditing

Confirm exactly how many times a specific brand name or tag appears in a long document.

04

Code String Analysis

Check the exact length and composition of strings used in software development tasks.

Automate a task

Put String Analyzer to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

String 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put String 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

949ms average. Fast in production.

String Analyzer is checked daily against the live service.

Daily averagePeak 1329ms
Oct 3Today
Fastest day
865ms
Slowest day
1329ms
14-day trend
Improving-20%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 String Analyzer, so you can see the experience inside your AI.

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

String Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_cB97ZdkNoybwfO5XIE4OQ5jshn2W4nG5oUaqdTPO/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — String Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "string-metrics-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cB97ZdkNoybwfO5XIE4OQ5jshn2W4nG5oUaqdTPO/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 String Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work String Analyzer owners hand off.

Technical users who need to bridge the gap between probabilistic AI reasoning and deterministic text math.

  • 01

    SEO Specialists

    They hand off meta titles and descriptions to the AI to ensure they meet strict character limits.

  • 02

    Data Engineers

    They use the agent to perform fuzzy matching and deduplication on text datasets.

  • 03

    Content Editors

    They rely on the capability to audit generated copy for specific word counts or forbidden characters.

FAQ

Questions String Analyzer owners ask.

  • 01

    Why do I need this if my AI can count?

    LLMs see tokens, not individual characters. This causes them to fail at simple counting tasks like finding how many 'r's are in a word. This MCP provides the mathematical truth.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    What kind of similarity metrics are included?

    The capability provides Levenshtein distance and Jaccard index for fuzzy matching and deduplication.

  • 04

    Does this work for SEO tasks?

    Yes. It is specifically useful for ensuring SEO titles and meta descriptions stay within character limits.

  • 05

    How is the counting performed?

    The counts are performed using pure Node.js string mathematics to ensure they are deterministic and accurate.

  • 06

    Why not just ask the LLM to count?

    Because LLMs process text in chunks called 'tokens', not individual characters.

  • 07

    Does it count whitespaces?

    Yes, it provides an exact Javascript string length.

  • 08

    Can it find how many times a word appears?

    Yes, substring occurrence counting is fully supported.

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