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pqs-mcp-server

io.github.OnChainAIIntel/pqs-mcp-serverVersion 1.4.0

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

Status

Responds258 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 14:41 UTC
Latency
258 ms
Remotes responding
1 of 1
Sign-in
No sign-in
Hosting
Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://promptqualityscore.com/api/mcpResponds258 ms
No sign-in

Claude Code

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

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: pqs-mcp-server
Remote MCP server URL: https://promptqualityscore.com/api/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"pqs-mcp-server","type":"http","url":"https://promptqualityscore.com/api/mcp"}'
Streamable HTTP
npm: pqs-mcp-server 1.4.0
Package only

npm (npx)

claude mcp add pqs-mcp-server -- npx -y pqs-mcp-server@1.4.0

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Tools

2 tools

Tools of pqs-mcp-server
Read-only
Idempotent
Open world
optimize_promptRewrite 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.Not declaredNot declaredNot declaredNot declared
score_promptScore 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.Not declaredNot declaredNot declaredNot declared

Details

Registry status
Active
Published
May 27, 2026
Updated
May 27, 2026
Categories (suggested)
AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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