Deterministic Readability Scorer MCP Server for WindsurfGive Windsurf instant access to 3 tools to Calculate Flesch Kincaid, Calculate Gunning Fog, Calculate Reading Time

Name: Deterministic Readability Scorer
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Deterministic Readability Scorer through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Ask AI about this MCP Server for Windsurf

Open in ChatGPT Open in Claude Open in Perplexity

The Deterministic Readability Scorer MCP Server for Windsurf is a standout in the Productivity category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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ChatGPT

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Windsurf

VS Code

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+ other MCP clients

Classic Setup·json

{
  "mcpServers": {
    "deterministic-readability-scorer": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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About Deterministic Readability Scorer MCP Server

AI models perceive text as 'tokens', not as phonetic syllables or strict sentence boundaries. Because of this, asking an LLM to calculate a Flesch-Kincaid readability score directly will always result in a mathematical hallucination. The Readability Scorer MCP solves this by routing text analysis through a deterministic V8 Javascript engine.

Windsurf's Cascade agent chains multiple Deterministic Readability Scorer tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 3 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

The Superpowers

Flesch-Kincaid Precision: Automatically extracts total syllables, words, and sentences to provide mathematically perfect Reading Ease and Grade Level scores.
Gunning Fog Index: Determines the complexity of your text by algorithmically scanning for polysyllabic words (3+ syllables).
Exact Reading Time: Instead of guessing, it calculates the exact chronological reading time (minutes and seconds) based on a configurable WPM (Words Per Minute).
Zero-Dependency Architecture: Pure Javascript runtime execution means absolute processing speed with no external bloated packages.

The Deterministic Readability Scorer MCP Server exposes 3 tools through the Vinkius. Connect it to Windsurf in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 3 Deterministic Readability Scorer tools available for Windsurf

When Windsurf connects to Deterministic Readability Scorer through Vinkius, your AI agent gets direct access to every tool listed below — spanning text-analysis, flesch-kincaid, linguistic-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate flesch kincaid on Deterministic Readability Scorer

Provide the full text string. Analyzes text readability using the deterministic Flesch-Kincaid algorithm

calculate

Calculate gunning fog on Deterministic Readability Scorer

Provide the full text string. Analyzes text readability using the deterministic Gunning Fog index algorithm

calculate

Calculate reading time on Deterministic Readability Scorer

Provide the text and optionally the Words Per Minute (WPM) speed (defaults to 200). Provides an exact reading time estimation based on word count and WPM

Connect Deterministic Readability Scorer to Windsurf via MCP

Follow these steps to wire Deterministic Readability Scorer into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

Add the server

Paste the JSON configuration above into mcp_config.json

Save and reload

Windsurf will detect the new server automatically

Start using Deterministic Readability Scorer

Open Cascade and ask: "Using Deterministic Readability Scorer, help me...". 3 tools available

Why Use Windsurf with the Deterministic Readability Scorer MCP Server

Windsurf provides unique advantages when paired with Deterministic Readability Scorer through the Model Context Protocol.

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

JSON-based configuration means zero code changes: paste a URL, reload, and all 3 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Deterministic Readability Scorer + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Deterministic Readability Scorer MCP Server delivers measurable value.

Automated code generation: ask Cascade to fetch data from Deterministic Readability Scorer and generate models, types, or handlers based on real API responses

Live debugging: query Deterministic Readability Scorer tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from Deterministic Readability Scorer and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine Deterministic Readability Scorer data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Deterministic Readability Scorer in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Deterministic Readability Scorer immediately.

"What is the Flesch-Kincaid Grade Level of my latest blog post?"

"How many minutes will it take a user to read this newsletter?"

"Analyze this legal contract using the Gunning Fog Index."

Troubleshooting Deterministic Readability Scorer MCP Server with Windsurf

Common issues when connecting Deterministic Readability Scorer to Windsurf through Vinkius, and how to resolve them.

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Deterministic Readability Scorer + Windsurf FAQ

Common questions about integrating Deterministic Readability Scorer MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

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