Lovec

Name: Lovec
Author: lovec-tech

by lovec-techversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.lovec-tech/lovec-mcp

Install

Overview

Description from the maker (original English)

Prompt-injection detector for untrusted text before it reaches an LLM (RU/EN). BYO lovec.tech key.

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 checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 14/wk · ★ –

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: Search & AI memory
You need to fill in: LOVEC_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: LOVEC_KEY, LOVEC_BASE, LOVEC_TIMEOUT

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?

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": {
    "lovec": {
      "command": "uvx",
      "args": [
        "lovec-mcp"
      ],
      "env": {
        "LOVEC_KEY": "your-value",
        "LOVEC_BASE": "your-value",
        "LOVEC_TIMEOUT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add lovec --env LOVEC_KEY=your-value --env LOVEC_BASE=your-value --env LOVEC_TIMEOUT=your-value -- uvx lovec-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": {
    "lovec": {
      "command": "uvx",
      "args": [
        "lovec-mcp"
      ],
      "env": {
        "LOVEC_KEY": "your-value",
        "LOVEC_BASE": "your-value",
        "LOVEC_TIMEOUT": "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": {
    "lovec": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "lovec-mcp"
      ],
      "env": {
        "LOVEC_KEY": "your-value",
        "LOVEC_BASE": "your-value",
        "LOVEC_TIMEOUT": "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

LOVEC_KEY secret required env
API key issued at https://lovec.tech (format aig_...). Every check is billed to this key's balance.
LOVEC_BASE env
Alternative API host
LOVEC_TIMEOUT env
Hard cap for one API call, seconds

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account lovec-tech, 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 Search & AI memoryi

More stars than 0% of the other 5684 servers in this category
Published to the registry more recently than 44% of the other 5684 servers in this category
Basic checks equal to or better than 100% of the other 5684 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 Lovec 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: LOVEC_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 (0.1.2) reached the registry 2 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: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

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.

lovec-mcp

Локальный MCP-сервер поверх детектора промпт-инъекций lovec.tech. Даёт агентам (Claude Desktop, Claude Code, любой MCP-клиент) тул check_prompt_injection — проверка недоверенного текста (веб-страница, документ, результат тула, письмо) перед тем, как отдать его в другую LLM.

Работает только с вашим собственным ключом — сервер сам ничего не хранит и не логирует, но проверяемый текст уходит в API lovec.tech для анализа. Это тонкий клиент поверх уже существующего API-ключа/баланса с сайта.

Установка

Из PyPI:

pip install lovec-mcp

или без установки, через uv:

uvx lovec-mcp

Из исходников:

cd lovec-mcp

python3 -m venv .venv ./.venv/bin/pip install -e .

Ключ выпускается на lovec.tech

Быстрая проверка руками

export LOVEC_KEY=aig_...

./.venv/bin/python server.py

export LOVEC_KEY=aig_...

./.venv/bin/python -c " import asyncio, server print(asyncio.run(server.check_prompt_injection('тестовый текст'))) "

Подключение к MCP-клиенту

Claude Desktop (claude_desktop_config.json) или Claude Code (.mcp.json) — один и тот же формат:

"mcpServers": { "lovec": { "command": "uvx", "args": ["lovec-mcp"], "env": { "LOVEC_KEY": "aig_..." } } } }

Если ставили из исходников — вместо uvx укажите интерпретатор venv и путь к server.py:

"mcpServers": { "lovec": { "command": "/absolute/path/to/lovec-mcp/.venv/bin/python", "args": ["/absolute/path/to/lovec-mcp/server.py"], "env": { "LOVEC_KEY": "aig_..." } } } }

Скан корпуса и отчёт

Тул проверяет одну строку за вызов. Для целого корпуса (RAG, база документов) так не выйдет: каждый вердикт садится в контекст агента, а API отвечает от секунд до минут. Поэтому цикл вынесен в CLI lovec-scan, а агент читает готовую сводку.

export LOVEC_KEY=aig_...

lovec-scan ./docs --dry-run # сколько будет запросов (= списаний), ничего не отправляет lovec-scan ./docs --out lovec-scan-out

Разбивает длинные документы на чанки ≤5000 символов, ходит в API конкурентно, пишет results.jsonl построчно — прогон резюмируемый, повторный запуск дочитывает остаток. Упавшие чанки считаются пробелом в покрытии, а не чистым результатом; на 402 (кончился баланс) скан останавливается и помечает сводку как неполную.

На выходе summary.json: покрытие, доля флагов с 95% ДИ Уилсона по документам (не по чанкам — чанки одного документа не независимы), гистограмма баллов, топ флагов с цитатами.

Дальше в MCP-клиенте вызываете prompt `injection_scan_report` — он подставляет сводку и правила отчёта: не называть корпус чистым (ноль флагов — это верхняя граница, а не справка о здоровье), не считать precision/recall на неразмеченном корпусе, показывать пробелы покрытия, подавать флаги как очередь на разбор. Цитаты из корпуса помечены как недоверенные данные.

Флаг	Зачем
`--jsonl FILE`	читать документы из JSONL `{id, text}` вместо файлов
`--ext`	какие расширения читать (по умолчанию `.txt,.md,.markdown,.rst`)
`--workers`	конкурентность, по умолчанию 4
`--threshold F`	флажить по `score >= F` вместо вендорского `is_injection`
`--limit N`	взять не больше N документов

Переменные окружения

Переменная	По умолчанию	Зачем
`LOVEC_KEY`	— (обязательна)	ключ с lovec.tech
`LOVEC_BASE`	`https://lovec.tech`	другой хост API
`LOVEC_TIMEOUT`	`60`	потолок ожидания одного вызова, секунды

Lovec

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 Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

lovec-mcp

Установка

или без установки, через uv:

Быстрая проверка руками

Подключение к MCP-клиенту

Скан корпуса и отчёт

Переменные окружения