MCP server

Pqs

io.github.OnChainAIIntel/pqs-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

2

Token cost

About 968 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"pqs-mcp-server":{"type":"http","url":"https://promptqualityscore.com/api/mcp"}}}

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"pqs-mcp-server","server_url":"https://promptqualityscore.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"pqs-mcp-server","server_url":"https://promptqualityscore.com/api/mcp"}

Tools

• optimize_prompt ~552 tokens
  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
• score_prompt ~416 tokens
  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 use

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