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io.github.OnChainAIIntel/pqs-mcp-server

io.github.OnChainAIIntel/pqs-mcp-server · v1.4.0

No registry update 90+ days

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2024-11-05
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	2 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

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

streamable-http · https://promptqualityscore.com/api/mcp

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

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

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
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

Repository · Website · JSON · Text for agents · Registry updated 2026-05-27