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Text Readability Scorer MCP Server for WindsurfGive Windsurf instant access to 1 tools to Readability Scorer

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Windsurf brings agentic AI coding to a purpose-built IDE. Connect Text 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

The Text Readability Scorer MCP Server for Windsurf is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

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Classic Setup·json
{
  "mcpServers": {
    "text-readability-scorer": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
RecommendedModern Approach — Zero Configuration

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Text Readability Scorer and 4,000+ MCP Servers from a single visual interface.

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Text Readability Scorer
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IAMAccess control
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Text Readability Scorer MCP Server

You ask your AI copywriter: 'Is this blog post easy to read?' It says 'Yes, it is very engaging!' Then you run it through a real SEO tool and it scores at a university reading level — killing your mobile bounce rate.

Windsurf's Cascade agent chains multiple Text Readability Scorer tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 1 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

LLMs cannot accurately count syllables or calculate sentence complexity. This MCP uses the text-readability library to execute standard linguistic formulas, providing mathematical proof of how difficult your text is to read.

The Superpowers

  • Flesch-Kincaid Grade Level: The industry standard. Returns a number corresponding to the US grade level (e.g., 8.2 = 8th grade).
  • Flesch Reading Ease: A 0-100 scale where higher is easier. Essential for broad audience copy.
  • Multiple Algorithms: Also calculates Gunning Fog, Coleman-Liau, SMOG, and Automated Readability Index (ARI).
  • Consensus Evaluation: Automatically aggregates all scores to give you a definitive target audience level.

The Text Readability Scorer MCP Server exposes 1 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 1 Text Readability Scorer tools available for Windsurf

When Windsurf connects to Text Readability Scorer through Vinkius, your AI agent gets direct access to every tool listed below — spanning linguistics, readability-metrics, text-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.

readability

Readability scorer on Text Readability Scorer

Essential for SEO, marketing, and legal compliance. Calculate rigorous readability metrics for any text (Flesch-Kincaid, Gunning Fog, SMOG, etc.)

Connect Text Readability Scorer to Windsurf via MCP

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

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Text Readability Scorer

Open Cascade and ask: "Using Text Readability Scorer, help me...". 1 tools available

Why Use Windsurf with the Text Readability Scorer MCP Server

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

01

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

02

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

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 1 tools are immediately available

04

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

Text Readability Scorer + Windsurf Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Text Readability Scorer in Windsurf

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

01

"Analyze this landing page copy. We need it to be at an 8th-grade reading level to maximize conversions."

02

"Our legal team says the new Terms of Service must be readable by a 6th grader. Verify the text."

03

"Check the SMOG Index and Gunning Fog for this medical article before we publish it."

Troubleshooting Text Readability Scorer MCP Server with Windsurf

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

01

Server not connecting

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

Text Readability Scorer + Windsurf FAQ

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

01

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.
02

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.
03

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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