Human Creative AI Workflow & Eval Lab

io.github.jdurey由 GitHub 账号 jdurey 发布v1.0.0更新于 Nov 14, 2026

Remote MCP tools for 3-vendor AI workflow diagnostics, HAR sandboxes, 50v audits, and rubrics.

发布方自己的服务：TAP

已验证Streamable HTTP可网页运行开发者工具安全与监控AI 与机器学习

概览

AI 生成的概览

远程 MCP 服务器，提供多模型 AI 工作流诊断、智能体评测沙箱、护栏审计、评审量表校准以及 SOP 转 SCORM/QTI 编译。

可以做什么
  • 用免费的三模型实时诊断分析 AI 工作流或职位描述，输出瓶颈、失效模式、DAG 与上线计划
  • 根据工作流网址或录制的 HAR 文件生成离线智能体评测沙箱，含任务、奖励校验器与基准报告
  • 以 50 组向量做提示注入与策略绕过压力测试，返回加固后的系统提示词
  • 跨四个模型家族校准评审量表，降低自我偏好偏差与判定翻转
  • 把 Markdown 或纯文本 SOP、操作手册编译为 SCORM 1.2 与 QTI 3.0 学习平台包
适用场景
适合在设计或审查 AI 智能体工作流时获取外部多模型评审、搭建评测框架，或对系统提示词做对抗性检查。若需把内部 SOP 转成学习平台可用的课程包，也可使用。
运行要求
远程 Streamable HTTP 端点，连接无需本地运行时、容器或 API 密钥。诊断工具免费；其余四个交付工具在 preview_mode 为 true 时免费预览，完整交付需通过 Stripe 或 x402 USDC 付费。
安装前请注意
五个工具中有四个可能产生费用：完整交付分别约 199、149、49 美元，通过 Stripe 或 x402 USDC 支付，除非 preview_mode 为 true，调用前请确认模式。提交的工作流描述、网址、HAR 抓包、提示词和 SOP 文档会发送到运营方的 Cloudflare 服务及第三方模型提供商。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Human Creative AI Workflow & Eval Lab，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.jdurey%2Fhuman-creative/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "human-creative-ai-workflow-eval-lab": {
      "type": "http",
      "url": "https://josh-employer-funnel.josh-durey.workers.dev/mcp"
    }
  }
}

README

Human Creative MCP Server (io.github.jdurey/human-creative)

Zero-install Streamable HTTP Model Context Protocol (MCP) server for multi-vendor AI workflow diagnostics, deterministic HTTP Archive (.har) agent evaluation sandboxes, 50-vector adversarial guardrail audits, 4-family LLM judge rubric calibration, and SOP-to-SCORM/QTI compilation.

  • Remote MCP Endpoint (Streamable HTTP): https://josh-employer-funnel.josh-durey.workers.dev/mcp
  • Registry Namespace: io.github.jdurey/human-creative
  • Architecture Portfolio & Live Diagnostic Hub: https://jdurey.github.io
  • Interactive AI Video Twin (Live Technical Q&A): https://jdurey.github.io/interview/

No local runtime, Docker container, or API key is required to connect and run diagnostics or instant Edge dry-run previews (preview_mode: true).

Available MCP Tools (5)

Tool NamePurposeInstant Free Mode
diagnose_ai_workflowExecutes a live 3-stage cross-family AI workflow or job description diagnostic on Cloudflare Workers AI (Mistral 24B intake -> Llama 3.3 70B 4-node DAG architect + Qwen 2.5 32B independent quality gate). Returns structured bottlenecks, silent failure modes, a 4-node DAG with human checkpoints, a 30-day rollout plan, and matched architecture receipts.Always free (readOnlyHint: true)
build_rea_har_agent_sandboxConverts a live web workflow URL or recorded HTTP Archive (.har v1.2) into an offline deterministic REA AgentEnv MCP sandbox (callable read/write tools + state transitions) paired with 8 multi-step evaluation tasks, 3-vendor Judge-Trust reward verifiers, a 300-DPI Executive Benchmark PDF, and a SHA-256 verified .zip bundle.Set "preview_mode": true
audit_workflow_guardrails_50vRuns a 50-vector multi-family prompt-injection, policy-bypass, and stem-withheld answer-leak stress test judged by 3 independent LLM vendor families, producing a hardened v2.0 system prompt and a 300-DPI Executive Audit PDF.Set "preview_mode": true
calibrate_judge_rubric_4familyEliminates single-model self-preference bias and stochastic verdict flips by decomposing subjective quality criteria into deterministic Python checks paired with a 4-family Judge-Trust rubric panel verified across byte-identical repeats.Set "preview_mode": true
compile_sop_to_scorm_qtiCompiles raw Markdown or plain-text SOPs, runbooks, and training documents into LMS-ready SCORM 1.2 and QTI 3.0 XML mastery packages with stem-withheld blind-QA item verification.Set "preview_mode": true

1-Click Client Setup

Claude Code

Run in your terminal:

bash
claude mcp add --transport http human-creative https://josh-employer-funnel.josh-durey.workers.dev/mcp

Or add to .mcp.json in your project root:

json
{  "mcpServers": {    "human-creative": {      "type": "http",      "url": "https://josh-employer-funnel.josh-durey.workers.dev/mcp"    }  }}

Cursor

Add to .cursor/mcp.json (or ~/.cursor/mcp.json):

json
{  "mcpServers": {    "human-creative": {      "url": "https://josh-employer-funnel.josh-durey.workers.dev/mcp"    }  }}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

json
{  "mcpServers": {    "human-creative": {      "serverUrl": "https://josh-employer-funnel.josh-durey.workers.dev/mcp"    }  }}

Cline

Add to cline_mcp_settings.json:

json
{  "mcpServers": {    "human-creative": {      "type": "streamableHttp",      "url": "https://josh-employer-funnel.josh-durey.workers.dev/mcp",      "disabled": false    }  }}

Quick Verification (curl)

List all live tools via JSON-RPC 2.0:

bash
curl -s -X POST https://josh-employer-funnel.josh-durey.workers.dev/mcp \  -H "Content-Type: application/json" \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

Run a free 3-vendor workflow diagnostic:

bash
curl -s -X POST https://josh-employer-funnel.josh-durey.workers.dev/mcp \  -H "Content-Type: application/json" \  -d '{    "jsonrpc": "2.0",    "id": 2,    "method": "tools/call",    "params": {      "name": "diagnose_ai_workflow",      "arguments": {        "mode": "workflow",        "org_hint": "Example Engineering Team",        "input": "Our customer support triage agent hallucinates refund policy exceptions and lacks deterministic pre-send verification."      }    }  }'

Links & Contact

License

MIT License. See LICENSE.

来源：README.md，提交 056a68f

工具

5

diagnose_ai_workflow

Live 3-Vendor AI Workflow & JD Diagnostic (Free)

FREE live 3-stage cross-family AI workflow and JD diagnostic executed immediately on Cloudflare Workers AI (Mistral 24B intake -> Llama 3.3 70B 4-node DAG architect + Qwen 2.5 32B independent quality gate). Returns structured bottlenecks, silent failure modes, a 4-node DAG with human checkpoints, a 30-day rollout plan, and matched portfolio receipts.

输入参数modeinput必填org_hint

build_rea_har_agent_sandbox

Build Offline REA HAR-to-AgentEnv Sandbox ($299 Stripe / $3.50 x402 USDC / Free Preview)

Converts a live web workflow URL or recorded HTTP Archive (.har v1.2) into an offline deterministic REA AgentEnv MCP sandbox (callable read/write tools + state transitions) paired with 8 multi-step evaluation tasks, 3-vendor Judge-Trust reward verifiers, a 300-DPI Executive Benchmark PDF, and a SHA-256 verified .zip bundle ($299 Stripe / $3.50 x402 USDC, or set preview_mode=true for an instant free Edge dry-run).

输入参数target_urlclient_name必填preview_modecontact_emailpayment_tokenworkflow_name必填observed_endpoints

audit_workflow_guardrails_50v

50-Vector Multi-Family Guardrail & Leak Stress-Test ($199 / Free Preview)

Runs a 50-vector multi-family prompt-injection, policy-bypass, and stem-withheld answer-leak stress test judged by 3 independent LLM vendor families, producing a hardened v2.0 system prompt and 300-DPI Executive Audit PDF ($199 Stripe / $2.50 x402 USDC, or set preview_mode=true for a free 5-vector Edge dry-run).

输入参数client_name必填preview_modecontact_emailpayment_tokenbot_or_workflow_name必填system_prompt_or_rules必填

calibrate_judge_rubric_4family

4-Family Judge-Trust Rubric Calibration ($149 / Free Preview)

Eliminates single-model self-preference bias and stochastic verdict flips by decomposing subjective quality criteria into deterministic Python checks + a 4-family Judge-Trust rubric panel verified across byte-identical repeats ($149 Stripe / $2.00 x402 USDC, or set preview_mode=true for a free calibrated rubric preview).

输入参数client_name必填task_domain必填preview_modecontact_emailpayment_tokencurrent_rubric必填

compile_sop_to_scorm_qti

Compile SOP to Verified SCORM 1.2 & QTI 3.0 Packages ($49 / Free Preview)

Compiles raw Markdown/text SOPs, runbooks, or training docs into LMS-ready SCORM 1.2 + 1EdTech QTI 3.0 XML mastery packages with stem-withheld blind-QA item verification ($49 Stripe / $0.75 x402 USDC, or set preview_mode=true for a free Knowledge Component + QTI 3.0 XML item preview).

输入参数client_namecourse_title必填preview_modesop_markdown必填contact_emailpayment_token

版本历史

1
  1. v1.0.0最新Nov 14, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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