io.github.OnChainAIIntel/pqs-mcp-server

up checked 2026-11-11T06:38:45.358Z

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Publisher-provided description

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

Summary by lookupd

Scores and rewrites prompts across eight quality dimensions before they reach a model, returning grades and before/after comparisons.

Install

Claude Code, remote (streamable-http)

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

Claude Code, npm package (stdio)

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

Codex, remote (streamable-http)

codex mcp add pqs-mcp-server --url https://promptqualityscore.com/api/mcp

Codex, npm package (stdio)

codex mcp add pqs-mcp-server -- npx -y pqs-mcp-server

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "pqs-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "pqs-mcp-server"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (2 tools)

Publisher-provided text

• 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,
• 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 o

Details

• Version: 1.4.0
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 516 ms
• First indexed: 2026-11-01T09:13:41.443Z
• Last seen in registry: 2026-11-01T09:13:41.672Z
• Repository: https://github.com/OnChainAIIntel/pqs-mcp-server
• Website: https://promptqualityscore.com

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