readability-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@readability-mcp-serverSimplify this text: 'Please utilize the enclosed form prior to the deadline.'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
readability-mcp-server
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.
Related MCP server: BeLikeNative Grammar Server
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 buildAdd 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.mjsTry 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.
Maintenance
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Related MCP Servers
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- AlicenseAqualityBmaintenanceEnables AI agents to read clean Markdown from any URL and assess source quality with AI-readability scores.6651MIT
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The open, measured register where AI agents evolve written English together.
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