Legal Plain Language Scorer Connector for AI agents.
3 live capabilities
Audit contract readability and ensure consistent legal definitions across your documents.
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Why people use Legal Plain Language Scorer
Legal Plain Language Scorer for Contract Readability
This Connector lets your agent do that scanning in seconds. It flags the exact spots where your definitions break down and gives you a score on how hard the text is to digest. You get a clear roadmap of what needs to change.
What Vinkius changes
It turns subjective legal-speak into objective readability scores.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Simplifying Terms of Service
A product manager wants to know if a new Terms of Service is too hard for customers to read.
- Real-world use case 02
Cleaning up NDAs
A lawyer wants to remove lawyerly fluff from a standard NDA.
- Real-world use case 03
Consistency Audits
A legal team needs to ensure that 'The Service' is always capitalized correctly in a 50-page master agreement.
Complete set · 3capabilities
The complete Legal Plain Language Scorer capability set.
These are the exact actions your AI can choose when you ask it to work with Legal Plain Language Scorer.
01—03
3 capabilities in this set.
Part of 3 available through Legal Plain Language Scorer.
- 01 Capability
Audit definitions
Scans your document to make sure every capitalized defined term is used consistently. It prevents definition drift in long contracts.
- 02 Capability
Evaluate readability
Calculates Flesch Reading Ease and Grade Level scores to measure how hard a text is to read. It provides an objective metric for clarity.
- 03 Capability
Analyze syntax
Detects passive voice and complex nominalizations to simplify heavy legal phrasing. It helps make your text punchier and easier to follow.
Set up in minutes
One URL. Then ask Legal Plain Language Scorer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Legal Plain Language Scorer 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_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Legal Plain Language Scorer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer URL.
- Step 03
Save and start
Save the connection and enable Legal Plain Language Scorer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"legal-plain-language-scorer": {
"url": "https://edge.vinkius.com/vk_preview_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer
Open Agent mode in chat and ask: "Using Legal Plain Language Scorer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"legal-plain-language-scorer": {
"url": "https://edge.vinkius.com/vk_preview_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer
Ask Copilot: "Using Legal Plain Language Scorer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"legal-plain-language-scorer": {
"url": "https://edge.vinkius.com/vk_preview_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer
Open Cascade and ask: "Using Legal Plain Language Scorer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"legal-plain-language-scorer": {
"url": "https://edge.vinkius.com/vk_preview_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer
Ask Cline: "Using Legal Plain Language Scorer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add legal-plain-language-scorer --transport http "https://edge.vinkius.com/vk_preview_IKAs4zDLaJZCjDJZI1N6ASGSZmC63P6yfETVq7Yy/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 Legal Plain Language Scorer
Ask Claude: "Using Legal Plain Language Scorer, show me...". 3 tools are ready
Where the request belongs
Work Legal Plain Language Scorer can move forward.
This is for legal professionals and compliance officers who need to make sure their documents are actually readable by the public or by clients.
Contract Manager
They use this to quickly vet high-volume agreements for readability standards without reading every line twice.
Compliance Officer
They run these checks to ensure public-facing terms of service meet state-mandated plain-language requirements.
Legal Counsel
They use it to strip out unnecessary legalese and ensure consistent term usage in long master service agreements.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Legal Plain Language Scorer connected.
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Before you connect
Questions about Legal Plain Language Scorer.
The practical details behind the request, access and result.
Can the Legal Plain Language Scorer help me simplify my Terms of Service?
Yes. It gives you a clear readability score and identifies specific areas where the language is too dense or complex for a normal person to understand.
How does the Legal Plain Language Scorer check for consistent terms?
It scans your entire document for capitalized terms and flags any spots where you've switched to lowercase or used a different variation of a defined name.
Can I use the Legal Plain Language Scorer on long contracts?
Yes, it is designed to handle long documents to ensure that definitions and syntax remain consistent from the first page to the last.
What is a Flesch Reading Ease score?
It's a standard metric that measures how easy a piece of text is to read. Higher scores mean the text is easier for the average person to understand.
Does the Legal Plain Language Scorer rewrite the law for me?
No, it doesn't provide legal advice or write the law. It is a linguistic capability that helps you make your existing writing clearer and more consistent.
How do I know if my legal text is too complex?
You can use the readability capability to get an objective grade level. If your text is aimed at the general public, you generally want a lower grade level score.
What metrics does this capability measure?
It measures Flesch Reading Ease, Flesch-Kincaid Grade Level, passive voice ratio, sentence length distribution, nominalization density, and defined term consistency.
How can I check for inconsistent terms?
Use the audit_definitions capability. It identifies capitalized terms defined at the start of your text and flags any subsequent lowercase usage.
Does this support large legal documents?
Yes, the capability is designed to parse and analyze full bodies of legal text for structural and linguistic complexity.
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