Habitscore

Name: Habitscore
Author: Ialyahya96

by Ialyahya96version 1.0.1i★ –iRuns on your computer

Registry nametech.mydev-tools/habitscore

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Marketing & social media
You need to fill in: HABITSCORE_PRIVATE_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: HABITSCORE_PRIVATE_KEY, HABITSCORE_MAX_SPEND_USD, BASE_RPC_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

HABITSCORE_PRIVATE_KEY secret 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

! Caution
Maker matches the repo
The publisher (mydev-tools.tech) is not the repo owner (Ialyahya96); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

More stars than 0% of the other 2959 servers in this category
Published to the registry more recently than 79% of the other 2959 servers in this category
Basic checks equal to or better than 42% of the other 2959 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Habitscore safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: HABITSCORE_PRIVATE_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Tool	Price	Returns
`analyze_reliability`	$0.08	Reliability score and grade per task, lapse risk, latency-trend warnings, priority-ranked remediation
`analyze_behaviour`	$0.05	Adherence and consistency scores, streak momentum, lapse-risk flags, highlights, watchouts, recommendations
`recommend_next_actions`	$0.03	Ranked next-best action per habit with rationale and priority
`extract_insights`	$0.05	Condensed patterns, correlations and risk signals
`build_habit_plan`	$0.10	Multi-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

Variable	Default	Purpose
`HABITSCORE_PRIVATE_KEY`	—	Wallet key for signing payments. Omit for quote-only mode.
`HABITSCORE_MAX_SPEND_USD`	`0.25`	Hard cap per tool call, enforced before signing.
`HABITSCORE_API_URL`	`https://api.mydev-tools.tech`	API origin.
`BASE_RPC_URL`	`https://mainnet.base.org`	Base 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.

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.

Habitscore

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

habitscore-mcp

Why it works this way

Install

Wallet

Tools

Input

What it does not do

Environment

Verifying a charge

Links

Volume rebate