readability-mcp-server

readability-mcp-server

Lets any AI agent score and simplify its own text before it reaches a human, using Flesch readability metrics and plain-language rewrites entirely on the local machine.

Category
Visit Server

README

readability-mcp-server

Glama score

An MCP server that lets any AI agent check and improve the plain-language quality of its own text — before that text ever reaches a human. Fully local: no API key, no network call, no external service. It's a pure computation tool, so nothing you pass through it ever leaves the machine it's running on.

Unlike the other tools in this series (scamlens, clearread, clauselens), this one isn't a website a person opens — it's infrastructure for the AI agent ecosystem itself. Any MCP-compatible client (Claude Code, Claude Desktop, or any other) can call it directly.

Why

Agents generate a lot of text — replies, documentation, notices, error messages — and mostly have no way to check whether that text is actually easy for the recipient to read before sending it. This server gives any agent that self-check as a first-class tool call, using the same plain-language engine (sentence splitting + a vetted complex-to-plain word dictionary) already shipped and tested in clearread, the standalone web app in this series — here exposed for programmatic use instead of pasted by hand into a browser.

Tools

readability_score_text

Computes Flesch Reading Ease and Flesch-Kincaid Grade Level for a block of English text. Returns supported: false with structural counts only for non-Latin script, since the Flesch formulas assume English syllable patterns.

readability_simplify_text

Rewrites text in plainer language — splits overly long sentences at natural clause boundaries and substitutes common bureaucratic vocabulary for plainer equivalents — and reports the Flesch Reading Ease score before and after, so you can confirm the rewrite actually helped. English only, by design: word substitution is unreliable across languages with richer morphology, so non-Latin-script text is detected and passed through unchanged rather than risk broken grammar (see the note in src/services/simplify.ts about why a few tempting dictionary entries, like "accompanied" → "went with", were left out after they broke common fixed phrases like "must be accompanied by").

Install and configure

Clone and build:

git clone https://github.com/wedo911/readability-mcp-server.git
cd readability-mcp-server
npm install
npm run build

Add it to your MCP client's config (e.g. claude_desktop_config.json, or a project's .mcp.json for Claude Code):

{
  "mcpServers": {
    "readability": {
      "command": "node",
      "args": ["/absolute/path/to/readability-mcp-server/dist/index.js"]
    }
  }
}

Run the tests

npm run build
node --test tests/textStats.test.mjs tests/simplify.test.mjs

Try it without a client

The MCP Inspector can call tools directly from the command line:

npx @modelcontextprotocol/inspector --cli node dist/index.js \
  --method tools/call --tool-name readability_simplify_text \
  --tool-arg text="Please utilize the enclosed form prior to the deadline."

License

MIT — see LICENSE.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured