Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer
Publishready
Overview
Description from the maker (original English)
PublishReady: Deterministic writing control with local-first metrics and AI prose audits.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 58/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"publishready": {
"command": "npx",
"args": [
"-y",
"@veldica/publishready-mcp"
]
}
}
}Run this in your terminal
claude mcp add publishready -- npx -y @veldica/publishready-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"publishready": {
"command": "npx",
"args": [
"-y",
"@veldica/publishready-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"publishready": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@veldica/publishready-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account veldica, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 18444 servers in this category
- Published to the registry more recently than 6% of the other 18444 servers in this category
- Basic checks equal to or better than 100% of the other 18444 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Publishready safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.5) reached the registry 6 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud✓ desktopcommander.app
Tethered Trust
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
Runs in the cloud✓ tetheredtrust.com
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
PublishReady: Professional Writing Control
PublishReady is a deterministic writing analysis system designed to turn AI drafts into publish-ready writing. It serves as the final QA pass for AI-generated prose, providing local-first metrics, target compliance, and specific revision levers without sending text to remote services.
The PublishReady Packages
This project is structured as a professional, layered monorepo containing specialized packages:
Core Packages
- [@veldica/publishready-mcp](packages/mcp): The Model Context Protocol (MCP) server implementation (
publishready-mcp). - [@veldica/publishready-cli](packages/cli): The command-line tool for local analysis (
publishready). - [@veldica/publishready-core](packages/core): The central orchestration engine.
- [@veldica/publishready-schemas](packages/schemas): Unified Zod schemas and explicit interfaces.
Underlying Libraries
- [@veldica/prose-analyzer](https://www.npmjs.com/package/@veldica/prose-analyzer): Deterministic style signals (variety, density, repetition, narrative texture).
- [@veldica/readability](https://www.npmjs.com/package/@veldica/readability): Consolidated library of all major readability formulas.
- [@veldica/prose-tokenizer](https://www.npmjs.com/package/@veldica/prose-tokenizer): Standalone markdown-aware prose tokenization.
- [@veldica/prose-linter](https://www.npmjs.com/package/@veldica/prose-linter): Target checks, revision levers, content integrity, and deterministic AI-sounding prose markers.
Installation
MCP Server (Recommended)
Add the server to your MCP client configuration:
{"mcpServers": { "publishready": { "command": "npx", "args": ["-y", "@veldica/publishready-mcp"] } } }
Command Line
npx @veldica/publishready-cli analyze sample.txtHosted MCP
For Smithery, VPS, or gateway deployments, run the server with Streamable HTTP:
npx @veldica/publishready-mcp --transport=http --port=3000The MCP endpoint is /mcp; the health endpoint is /health.
Key Features
- Template, Target, and Reference Modes: Compare writing against built-in templates, explicit numeric targets, reference text, or reusable reference profiles.
- Deterministic Metrics: Structural counts, sentence and paragraph distributions, lexical signals, scannability, fiction proxies, and readability formulas.
- Specific Revision Levers: Ranked, evidence-based suggestions such as
shorten_long_sentences,replace_difficult_words, andreduce_abstract_wording. - AI-Sounding Prose Audit: Deterministic marker inventory for formulaic, generic, or over-polished prose, including exact matches and tracked phrase counts.
- Fiction & Non-Fiction Support: Narrative metrics for dialogue, sensory density, abstract wording, and scene pacing.
- Explainable Interpretation: Target and metric interpretation that explains audience, use cases, style implications, and tradeoffs.
- Local-First & Private: Stdio-first, deterministic, no external API calls, and no LLM wrappers.
MCP Tool Surface
The MCP server exposes 16 specialized tools for analysis and control, including audit_ai_sounding_prose for deterministic AI-marker analysis. For a full list and documentation, see the MCP README.
Deterministic Philosophy
This package explicitly avoids perplexity and other model-dependent scores. We believe writing control should be:
- Explainable: You should know exactly why a score changed.
- Reproducible: The same text should always yield the same metrics.
- Practical: A metric is only useful if it tells you what to change.
Development
npm installnpm run build npm run lint npm run typecheck npm test
Publishing Metadata
- npm package:
@veldica/publishready-mcp - MCP Registry name:
io.github.veldica/publishready - Product homepage: https://veldica.com/publish-ready
- Source repository:
https://github.com/veldica/publishready-mcp
Registry and Directory Metadata
PublishReady is prepared for MCP directory discovery through:
- GitHub repository topics
- npm package keywords
- Glama metadata via
glama.json - Official MCP Registry metadata via
mcpName
This MCP is designed for AI-assisted writing workflows where the model should improve clarity, structure, readability, and publish-readiness while preserving facts, terminology, intent, and author voice.
License
MIT