string-ops Connector for AI agents.
3 live capabilities
Get exact character counts and programmatic casing for your content.
Waiting for input…
Why people use string-ops
String Operations Engine for precise SEO character counting
With the String Operations Engine, your agent does the math for you. You just ask it to check your descriptions, and it gives you the exact counts instantly. You can stop guessing and start publishing.
What Vinkius changes
You get 100% accurate text manipulation without the guesswork.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Validating SEO meta descriptions
An SEO specialist asks the agent to check if a description is under 160 characters.
- Real-world use case 02
Formatting code variables
A developer needs to turn 'User Profile Image' into a variable.
- Real-world use case 03
Creating clean URL slugs
A content manager wants to turn a blog title into a URL.
Complete set · 3capabilities
The complete string-ops capability set.
These are the exact actions your AI can choose when you ask it to work with string-ops.
01—03
3 capabilities in this set.
Part of 3 available through string-ops.
- 01 Capability
Get text stats
Provides exact word, character, and line counts for any provided string. It eliminates the need to guess lengths for social media or SEO.
- 02 Capability
Change casing
Converts messy text into camelCase, PascalCase, snake_case, kebab-case, or URL slugs. This ensures your strings meet strict coding or web standards.
- 03 Capability
Truncate text
Cuts a string to a specific character length and adds an optional suffix. This is perfect for keeping UI elements from breaking.
Set up in minutes
One URL. Then ask string-ops to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use string-ops 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_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable string-ops for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops URL.
- Step 03
Save and start
Save the connection and enable string-ops in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"string-operations-engine": {
"url": "https://edge.vinkius.com/vk_preview_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops
Open Agent mode in chat and ask: "Using string-ops, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"string-operations-engine": {
"url": "https://edge.vinkius.com/vk_preview_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops
Ask Copilot: "Using string-ops, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"string-operations-engine": {
"url": "https://edge.vinkius.com/vk_preview_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops
Open Cascade and ask: "Using string-ops, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"string-operations-engine": {
"url": "https://edge.vinkius.com/vk_preview_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops
Ask Cline: "Using string-ops, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add string-operations-engine --transport http "https://edge.vinkius.com/vk_preview_z4NmdalWjwynfNSNnK1ux0pAbYFvEKRsadPkK0Vi/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 string-ops
Ask Claude: "Using string-ops, show me...". 3 tools are ready
Where the request belongs
Work string-ops can move forward.
This is for the developer who's tired of manual regex, the SEO specialist fighting with character limits, and the data engineer who needs clean strings for a database.
Frontend Developer
Converting raw user input into valid camelCase variable names for React components on a Tuesday afternoon.
SEO Specialist
Checking meta descriptions against character limits and generating slugs for thousands of blog posts.
Data Engineer
Cleaning up messy user-submitted strings for database ingestion to ensure data integrity.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsURL Slug Generator
Transliterate complex international text into 100% SEO-friendly URL slugs. Prevent AI hallucination of invalid characters in CMS routing.
Slug Generator
Transform any text into clean, SEO-friendly, URL-optimized slugs.
Change Case Engine
Transform text between 12 naming conventions (camelCase, snake_case, PascalCase, kebab-case, CONSTANT_CASE, and more) with zero errors.
Document Paginator Engine
Mathematically slice massive text blocks into token-safe chunks without ever truncating critical sentences.
Count Words for Agents
Text analysis capability that counts words, characters, sentences, and paragraphs. Validates maximum length constraints so AI agents can generate text that strictly respects exact limits.
String Metrics Analyzer
Bypass LLM tokenization blindness. Get exact character counts, word counts, and specific string occurrences deterministically.
Bring your own AI
Change the model, client or framework. Keep string-ops connected.
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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 string-ops.
The practical details behind the request, access and result.
Can the String Operations Engine MCP help me with SEO character limits?
Yes. It provides exact character and word counts, so you can ensure your meta descriptions and social posts stay within the limits of any platform.
Does the String Operations Engine MCP work locally?
Yes, it runs 100% locally. Your text is processed on your machine, so your sensitive data never leaves your environment.
Can I use the String Operations Engine MCP to format database keys?
Absolutely. You can use it to convert any string into snake_case, camelCase, or kebab-case to keep your database naming consistent.
How does the String Operations Engine MCP handle long text?
You can use it to truncate long strings to a specific length. It's a great way to ensure your text fits into fixed-size database fields or UI components.
Will the String Operations Engine MCP make my URLs look better?
Yes. It includes a slugify function that turns titles into clean, hyphenated URLs, which is great for SEO and readability.
Is the String Operations Engine MCP good for developers?
It's a great capability for developers who need deterministic text manipulation. It removes the guesswork from formatting strings for code or data.
Why use an Connector just to count words?
Because LLMs process tokens, not individual letters or words. If you ask an LLM to generate exactly 250 characters, it will guess and often fail. This Connector provides a deterministic mathematical check to guarantee exact limits.
Does the slugify capability handle international accents?
Yes! The slugify logic decomposes strings (NFD normalization) to strip out all diacritics (like á, ö, ç) before converting spaces to hyphens and removing non-alphanumeric characters.
Does it require internet access?
No. The entire engine executes purely on local JavaScript without any API requests, guaranteeing total privacy for your source code and content.
Why use an MCP just to count words?
Because LLMs process tokens, not individual letters or words. If you ask an LLM to generate exactly 250 characters, it will guess and often fail. This MCP provides a deterministic mathematical check to guarantee exact limits.
One connection away
Give your agent a direct line to string-ops.
Connect string-ops once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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