Pqs MCP Server

by onchainaiintel Your server? Claim it

answering

Pqs MCP Server is answering right now. Last checked 7 min ago. 69 installs a week from npm. It exposes 2 tools. Last commit 27 May 2026.

PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.

Installs per day peak 34 · avg 13 · -23% w/w

a month agotoday

Uptime history 48 days of history · worst day 11%

48 days agonow

29.3%

Uptime 24h

27 of 92 checks

Tools

read from the server

783 ms

Response time

average over 24h

Installs / week

npm and PyPI

Pqs MCP Server does not always answer

Over the last week it answered 38.8% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add pqs-mcp-server --transport http https://promptqualityscore.com/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "pqs-mcp-server": {
      "url": "https://promptqualityscore.com/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.pqs-mcp-server]
url = "https://promptqualityscore.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "pqs-mcp-server": {
      "url": "https://promptqualityscore.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "pqs-mcp-server": {
      "url": "https://promptqualityscore.com/api/mcp"
    }
  }
}

This one needs environment variables set before it will start: PQS_API_KEY (Your PQS Pro API key (pqs_live_xxx) for optimize_prompt. score_prompt is free and requires no key. Subscribe at promptqualityscore.com/pricing.). The author declared them in the registry entry; get the values from the project itself.

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

optimize

optimize_prompt

Rewrite a prompt to score higher on the PQS rubric, AND show before/after output comparisons so the user can see the impact. Returns the optimized prompt, the original PQS score, the optimized PQS score, and side-by-side sample outputs from a frontier model using both versions. USE WHEN: - The user got a low score from score_prompt and asks how to improve. - The user explicitly asks to "improve" / "rewrite" / "fix" / "optimize" a prompt they pasted. - The user is dissatisfied with output quality from a previous prompt and asks how to get better results. - score_prompt returned a suggestion to invoke this tool. DO NOT USE WHEN: - The user just asked for a score (use score_prompt only — don't double up). - The user wants you to write a new prompt from scratch (write it directly). REQUIRES: A PQS API key from a Pro subscription ($19.99/month, 1,000 calls/mo, includes batch + A/B comparison). If the user has not provided one, the tool returns a clear subscription URL — pass that response to the user verbatim. Do not invent or guess API keys. There is no free trial of this tool; the user must subscribe before the first call. COST: Counted against your Pro subscription's monthly call quota. LATENCY: ~6-8 seconds.

score

score_prompt

Score a prompt's quality across 8 dimensions BEFORE sending it to an expensive model. Returns a 0-80 score, an A-F grade, the per-dimension breakdown (clarity, specificity, context, constraints, output_format, role_definition, examples, cot_structure), and the weakest dimension. USE WHEN: - The user is workshopping a prompt and asks "is this good?" / "will this work?" / "should I add more detail?" - The user is about to send a long or expensive prompt to GPT-4, Claude Opus, or any frontier model, especially in a batch or automation context where rework is costly. - The user mentions iterating on a prompt that produced poor output and wants to diagnose what's missing. - The user pastes a prompt and asks for feedback on it. DO NOT USE WHEN: - The user is asking you to write a prompt for them (write it yourself first, then optionally call score_prompt to verify). - The prompt is conversational chat (this scores task-shaped prompts). COST: Free, no API key required. Rate-limited per IP: 5/min, 10/day, 100/month. If the user exceeds the limit, the response will include a structured upgrade path with subscribe and account URLs. LATENCY: ~2 seconds.

Endpoints

URL	Transport	State	Latency	Checked
https://promptqualityscore.com/api/mcp	streamable-http	answering	771 ms	7 min ago

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Pqs MCP Server — questions

Answers built from our own checks of this server.

What can Pqs MCP Server do?

It exposes 2 tools, read directly from the server on our last check. Among them: optimize_prompt, score_prompt. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Pqs MCP Server working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 27 of 92 checks got a reply (29.3%), average response time 783 ms. The bar chart above shows every period we have measured.

How do I connect Pqs MCP Server?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Pqs MCP Server need an API key?

No. Pqs MCP Server completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Pqs MCP Server?

It answers our handshake in 783 ms on average, which is faster than 14% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use Pqs MCP Server?

The npm package pqs-mcp-server was installed 69 times in the last week. Week over week that is -23%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Pqs MCP Server open source?

Yes — it is published under the MIT licence, written in JavaScript and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.