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Leaseclear MCP

by amadeuserrasversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.amadeuserras/leaseclear-mcp

Install

Overview

Description from the maker (original English)

MCP server for LeaseClear lease Q&A.

PopNx MCP’s three pillars

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

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: Other
  • You need to fill in: LEASECLEAR_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: LEASECLEAR_API_KEY, LEASECLEAR_API_URL

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

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "leaseclear": {
      "command": "uvx",
      "args": [
        "leaseclear-mcp"
      ],
      "env": {
        "LEASECLEAR_API_KEY": "your-value",
        "LEASECLEAR_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add leaseclear --env LEASECLEAR_API_KEY=your-value --env LEASECLEAR_API_URL=your-value -- uvx leaseclear-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": {
    "leaseclear": {
      "command": "uvx",
      "args": [
        "leaseclear-mcp"
      ],
      "env": {
        "LEASECLEAR_API_KEY": "your-value",
        "LEASECLEAR_API_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": {
    "leaseclear": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "leaseclear-mcp"
      ],
      "env": {
        "LEASECLEAR_API_KEY": "your-value",
        "LEASECLEAR_API_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

  • LEASECLEAR_API_KEY secret env
    Your LeaseClear API key. Omit for demo mode.
  • LEASECLEAR_API_URL env
    Override the LeaseClear API URL.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account amadeuserras, which owns the repo

  • … 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 Otheri

  • More stars than 0% of the other 32744 servers in this category
  • Published to the registry more recently than 29% of the other 32744 servers in this category
  • Basic checks equal to or better than 100% of the other 32744 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 Leaseclear MCP safe?

It passed 1 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: LEASECLEAR_API_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 (0.1.3) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Date Math

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Date Math

by JowenDelaPena

Exact date/time math for agents: business days, holidays, time zones, cron, RRULE, SLA. x402 paid.

Runs in the cloudUpdated today
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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.

leaseclear-mcp

A Model Context Protocol server that exposes LeaseClear lease Q&A.

Listed in the official MCP Registry as io.github.amadeuserras/leaseclear-mcp.

Tools

  • lease_qa — ask one question about lease terms; returns an answer grounded in the lease, or states that the lease is silent

Usage

Add this to your MCP client config (e.g. claude_desktop_config.json or Cursor mcp.json):

{

"mcpServers": { "lease-qa": { "command": "uvx", "args": ["leaseclear-mcp"] } } }

The package is on PyPI. uvx fetches and runs it as a local subprocess, communicating over stdio. uv required.

Optional environment variables
VariableDescriptionDefault
LEASECLEAR_API_KEYUse the server with your own LeaseClear accountLeaseClear demo mode
LEASECLEAR_API_URLOverride the API endpoint (local or private instances)LeaseClear production backend
{

"mcpServers": { "lease-qa": { "command": "uvx", "args": ["leaseclear-mcp"], "env": { "LEASECLEAR_API_KEY": "lc_...", "LEASECLEAR_API_URL": "https://..." } } } }

lease_qa usage

Argument

  • question (string, required) — one question about the lease

_meta

  • document_ids (string[], optional) — UUIDs of the documents to query. Omitted means all.

Security: The _meta field is used to pass metadata to the tool call that the model doesn't see. Having document_ids there is intentional: it prevents cross-document prompt injection because the model is never able to choose which documents it has access to. See a real-world example in LeaseOps: prompt injection and the tenants table.

MCP Python SDK example

Tool call:

result = await session.call_tool(

name="lease_qa", arguments={ "question": "How much is the security deposit for Yuna Kim?" }, meta={ "document_ids": [ "a1b2c3d4-e5f..." ] } )

Output:

{

"answer": "The security deposit is $6,400.00. This deposit is held in Owner's Broker's trust account [california-johnson-kim §4]." }

Tech stack

  • Python 3.12
  • Model Context Protocol Python SDK (mcp[cli]) over stdio
  • httpx for LeaseClear API calls
  • Pydantic and pydantic-settings for schemas and config
  • uv and uv_build for running and packaging
  • pytest, Ruff, and Pyright for tests, linting, and type checking

Project structure

leaseclear-mcp/

├── src/leaseclear_mcp/ │ ├── server.py # MCP server + lease_qa │ ├── leaseclear.py # LeaseClear HTTP client │ ├── schemas.py │ └── config.py ├── tests/ ├── pyproject.toml ├── .env.example └── README.md

Local Development

git clone https://github.com/you/leaseclear-mcp.git

cd leaseclear-mcp uv sync cp .env.example .env uv run pytest uv run ruff check . uv run pyright

Debugging

Use the MCP Inspector to test the server interactively:

npx @modelcontextprotocol/inspector uvx leaseclear-mcp

From a checkout, use uv run leaseclear-mcp instead of uvx leaseclear-mcp.

License

MIT

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