
Pqs Mcp Server
Scores prompts across eight dimensions (clarity, specificity, context, constraints, output format, role definition, examples, chain-of-thought structure) before they hit your model. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE. The free tier gives you 0-80 scores with A-F grades and weakest-dimension feedback, rate-limited per IP. Pro subscribers get optimize_prompt, which rewrites your prompt and runs both versions through a frontier model so you can see before-and-after outputs side by side. Useful as a pre-inference quality gate: block anything below 56/80 to avoid wasting tokens on underspecified requests. Works over stdio or streamable HTTP, with an optional self-hosted backend override.
- GitHub stars
- 2
- tools
- 2
- auth
- Secret needed
- transport
- STDIO, HTTP
- env var
- 1
- last updated
- May 27, 2026
Install
From registry metadata$ npx add-mcp https://promptqualityscore.com/api/mcp --name pqsRun in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.
Review the command, arguments and environment values before installing. MCP servers run with your local permissions.
Other ways
Claude Code
$ claude mcp add --transport http pqs https://promptqualityscore.com/api/mcpRun in your terminal. Add --scope user to make it available in every project.
Tools
Verified live · 2 toolsVerified live against the running server on Nov 6, 2026.
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 dimensio...1 params
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 dimensio...
prompt*stringoptimize_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...2 params
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...
api_keystringprompt*stringSponsors
Configuration
PQS_API_KEYsecretYour PQS Pro API key (pqs_live_xxx) for optimize_prompt. score_prompt is free and requires no key. Subscribe at promptqualityscore.com/pricing.
Readme
PQS MCP Server
Score prompt quality before it reaches any AI model. An MCP server for PQS.
Score and optimize LLM prompts before they hit any model. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE.
Install
Claude Desktop (stdio)
Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"pqs": {
"command": "npx",
"args": ["-y", "pqs-mcp-server"]
}
}
}
Remote (HTTP)
Use this when your MCP client supports streamable-HTTP transport (no local npm install required):
{
"mcpServers": {
"pqs": {
"url": "https://promptqualityscore.com/api/mcp"
}
}
}
Smithery
smithery mcp add onchaintel/pqs
Tools
Details
- Repository
- github.com/onchainaiintel/pqs-mcp-server
- Website
- promptqualityscore.com
- Category
- AI & LLM Tools
- Package
pqs-mcp-server- Transport
- STDIO, HTTP
- Auth
- Required
- Registry
- MCP registry, active
- Tools verified
- Nov 6, 2026