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

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

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

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "pqs-mcp-server": {
      "type": "remote",
      "url": "https://promptqualityscore.com/api/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "pqs-mcp-server": {
      "type": "http",
      "url": "https://promptqualityscore.com/api/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=pqs-mcp-server&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vcHJvbXB0cXVhbGl0eXNjb3JlLmNvbS9hcGkvbWNwIn0%3D"
}

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

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

extensions:
  "pqs-mcp-server":
    enabled: true
    name: "pqs-mcp-server"
    type: streamable_http
    uri: "https://promptqualityscore.com/api/mcp"
    timeout: 300

Quality 74 / 100needs work

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2024-11-05; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene64 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length2 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: optimize_prompt (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); score_prompt (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
pass
tools.token_costabout 811 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependencies67 · weight 15

pass
deps.known_vulnsno known advisory in 104 resolved packages
fail
deps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or later
pass
deps.resolvable[email protected] resolved: 104 packages

2 tools, about 811 tokens to load them all · tool set ef4319b065b9 · checked 2026-10-20 14:21 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 90 / 100

provenance90

liveness100

freshness65

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-146d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] npm103 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19

advisory	severity	package	fixed in
GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server	high	`@modelcontextprotocol/[email protected]`MCP SDK, direct	fixed in `1.31.0`

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://promptqualityscore.com/api/mcp` streamable-http	none	yes	100%	754 ms	2024-11-05	2026-10-20

package	registry	version	runtime	secrets
`pqs-mcp-server`	npm	1.4.0	–	`PQS_API_KEY`

Tools (2)

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 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.

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 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.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.OnChainAIIntel/pqs-mcp-server",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://promptqualityscore.com/api/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.4.0",
  "packages": [
    {
      "version": "1.4.0",
      "transport": {
        "type": "stdio"
      },
      "identifier": "pqs-mcp-server",
      "registryType": "npm",
      "environmentVariables": [
        {
          "name": "PQS_API_KEY",
          "format": "string",
          "isSecret": true,
          "description": "Your PQS Pro API key (pqs_live_xxx) for optimize_prompt. score_prompt is free and requires no key. Subscribe at promptqualityscore.com/pricing."
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/OnChainAIIntel/pqs-mcp-server",
    "source": "github"
  },
  "websiteUrl": "https://promptqualityscore.com",
  "description": "PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc."
}