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Habitscore

作者:Ialyahya96版本 1.0.1i★ –i在你的电脑上运行
注册名称tech.mydev-tools/habitscore

安装

概览

作者提供的说明(英文原文)

Reliability scoring for agent jobs and habit analytics. Pay per call via x402 (USDC on Base).

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:HABITSCORE_PRIVATE_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 0 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: HABITSCORE_PRIVATE_KEY, HABITSCORE_MAX_SPEND_USD, BASE_RPC_URL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "habitscore": {
      "command": "npx",
      "args": [
        "-y",
        "habitscore-mcp"
      ],
      "env": {
        "HABITSCORE_PRIVATE_KEY": "your-value",
        "HABITSCORE_MAX_SPEND_USD": "your-value",
        "BASE_RPC_URL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add habitscore --env HABITSCORE_PRIVATE_KEY=your-value --env HABITSCORE_MAX_SPEND_USD=your-value --env BASE_RPC_URL=your-value -- npx -y habitscore-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "habitscore": {
      "command": "npx",
      "args": [
        "-y",
        "habitscore-mcp"
      ],
      "env": {
        "HABITSCORE_PRIVATE_KEY": "your-value",
        "HABITSCORE_MAX_SPEND_USD": "your-value",
        "BASE_RPC_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "habitscore": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "habitscore-mcp"
      ],
      "env": {
        "HABITSCORE_PRIVATE_KEY": "your-value",
        "HABITSCORE_MAX_SPEND_USD": "your-value",
        "BASE_RPC_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • HABITSCORE_PRIVATE_KEY 机密 env
    Private key of a Base wallet holding USDC. Signs payments locally and never leaves the process. Omit to run quote-only.
  • HABITSCORE_MAX_SPEND_USD env
    Ceiling per tool call in USD. Default 0.25.
  • BASE_RPC_URL env
    Base RPC endpoint. Default https://mainnet.base.org.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ! 注意

    作者与仓库一致

    发布者(mydev-tools.tech)不是仓库所有者(Ialyahya96);可能是其他人代为上架的

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2961 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2961 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 2961 个服务器的 42%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Habitscore 安全吗?

它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:HABITSCORE_PRIVATE_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.1)于9天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT9天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT9天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

habitscore-mcp

MCP server for Habitscore — analytics over anything with a recurring completion history.

Two families of tools, one engine:

  • Operational reliability — score recurring tasks, jobs, pipelines and scheduled workflows. Success rate, streak recovery, lapse risk, latency-trend warnings, and remediation ranked by priority.
  • Behavioural analytics — the same scoring over habit and routine data. Adherence, consistency, momentum, lapse risk, next-best actions, multi-week plans.

Pays per call with x402: USDC on Base, no account, no API key, no subscription. From $0.03 per call.

Walkthrough with a working x402 client example: https://mydev-tools.tech/agents/reliability/

Why it works this way

The server runs on your machine with your wallet. It signs payments locally and the private key never leaves the process. Nothing is custodied on our side and there is no account to create — the same promise the HTTP API makes.

Without a wallet configured, every tool still works in quote-only mode: it returns the price and the payment terms instead of erroring, so you can see what a call would cost before funding anything.

Install

// Claude Desktop: claude_desktop_config.json

// Cursor: ~/.cursor/mcp.json { "mcpServers": { "habitscore": { "command": "npx", "args": ["-y", "habitscore-mcp"], "env": { "HABITSCORE_PRIVATE_KEY": "0x…", "HABITSCORE_MAX_SPEND_USD": "0.25" } } } }

Omit HABITSCORE_PRIVATE_KEY to start in quote-only mode.

Wallet

Use a dedicated wallet holding only what you intend to spend. Fund it with a small amount of USDC on Base (contract 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913). You do not need ETH: under EIP-3009 you sign the authorisation off-chain and the facilitator submits the transaction and pays the gas.

HABITSCORE_MAX_SPEND_USD caps what a single tool call may spend, and is checked against the price the server actually quotes before anything is signed. An agent loop that retries a paid tool can otherwise spend without bound, and you are the one paying — so a server that quotes more than you authorised is refused rather than paid.

Tools

ToolPriceReturns
analyze_reliability$0.08Reliability score and grade per task, lapse risk, latency-trend warnings, priority-ranked remediation
analyze_behaviour$0.05Adherence and consistency scores, streak momentum, lapse-risk flags, highlights, watchouts, recommendations
recommend_next_actions$0.03Ranked next-best action per habit with rationale and priority
extract_insights$0.05Condensed patterns, correlations and risk signals
build_habit_plan$0.10Multi-week plan for one habit: weekly targets and dated milestones

Price is per call, not per habit. analyze_behaviour accepts up to 25 habits for the same $0.05, so batching is by far the cheapest way to use this.

Input

Reliability:

{

"system": "billing-pipeline", "tasks": [ { "name": "nightly-etl", "success_rate": 0.83, "current_streak": 0, "best_streak": 52, "runs": 210, "latency_trend": "rising", "p95_latency_ms": 38000, "cadence": "daily", "critical": true } ] }

name, success_rate (0–1), current_streak and best_streak are required. Note that `latency_trend: "rising"` is the degradation signal — the opposite polarity to the behavioural tools, where a falling trend is the warning.

Behavioural:

{

"habits": [ { "name": "Morning run", "completion_rate": 0.72, "current_streak": 9, "best_streak": 21, "average_mood": 7.4, "energy_trend": "rising" } ] }

name, completion_rate (0–1), current_streak and best_streak are required. average_mood, mood_correlation, energy_trend and risk_score are optional and sharpen the result.

"Habit" is the domain vocabulary, but the analysis applies to any recurring activity with completion history — training schedules, medication adherence, study routines, recurring operational tasks.

What it does not do

The engine is deterministic and CPU-only: threshold rules and arithmetic over the numbers you supply. Same input, same output, every time.

It is not a language model and does not generate prose beyond composing its findings. It does not store anything — the agent endpoints are stateless, accept no user identifier, and cannot read or infer any stored history. It is not medical, psychological or financial advice.

Environment

VariableDefaultPurpose
HABITSCORE_PRIVATE_KEY—Wallet key for signing payments. Omit for quote-only mode.
HABITSCORE_MAX_SPEND_USD0.25Hard cap per tool call, enforced before signing.
HABITSCORE_API_URLhttps://api.mydev-tools.techAPI origin.
BASE_RPC_URLhttps://mainnet.base.orgBase RPC for balance reads and signing context.

Verifying a charge

Every successful paid call appends the settlement transaction hash to the tool output. Open it on basescan.org to confirm the amount and recipient independently of anything this server reports.

Links

Volume rebate

Verified spend earns credits back — 5% from $10 lifetime, 10% from $100, 15% from $1,000, with higher rate limits at each tier. Credits are returned inline in the response that earns them and are redeemed with an X-Agent-Credit header on a later call.

MIT licensed.

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