Fli

punitarani/fli · MCP server

Ищет авиабилеты в Google Flights: рейсы на конкретную дату с фильтрами по классу, пересадкам, авиакомпаниям и альянсам, а также самые дешёвые даты в диапазоне.

Обзор

АвторpunitaraniСообщество
Репозиторийpunitarani/fli ↗
РазделПоиск и документация
Как подключаетсяРучная установка
Звёзды3 235
ЛицензияMIT
Обновлён20 сентября 2026 г.
Что понадобитсяPython и пакет flights (pipx)

Подключение

Выберите своё приложение и скопируйте готовую настройку. Значения в угловых скобках замените своими ключами.

Этот сервер ставится вручную (сборка, плагин или локальная программа) — пошаговая инструкция в README автора.

Инструкция в README ↗

README

оригинальный текст автора · только чтение

🛫 Fli - Flight Search MCP Server and Library

[](https://deepwiki.com/punitarani/fli)

A powerful Python library that provides programmatic access to Google Flights data with an elegant CLI interface. Search

flights, find the best deals, and filter results with ease.

🚀 What makes fli special?

Unlike other flight search libraries that rely on web scraping, Fli directly interacts with Google Flights' API

through reverse engineering.

This means:

* Fast: Direct API access means faster, more reliable results

* Zero Scraping: No HTML parsing, no browser automation, just pure API interaction

* Reliable: Less prone to breaking from UI changes

* Modular: Extensible architecture for easy customization and integration

MCP Server

pipx install flights

# Run the MCP server on STDIO
fli-mcp

# Run the MCP server over HTTP (streamable)
fli-mcp-http  # serves at http://127.0.0.1:8000/mcp/

Connecting to Claude Desktop

{
  "mcpServers": {
    "fli": {
      "command": "/Users/<user>/.local/bin/fli-mcp"
    }
  }
}

Note: Replace <user> with your actual username.

You can also find the path to the MCP server by running which fli-mcp in your terminal.

MCP Tools Available

The MCP server provides two main tools:

· Tool · Description ·

· search_flights · Search for flights on a specific date with detailed filters ·

· search_dates · Find the cheapest travel dates across a flexible date range ·

search_flights Parameters

· Parameter · Type · Description ·

· origin · string · Departure airport IATA code(s) — comma-separated for multi ·

· destination · string · Arrival airport IATA code(s) — comma-separated for multi ·

· departure_date · string · Travel date in YYYY-MM-DD format ·

· return_date · string · Return date for round trips (optional) ·

· cabin_class · string · ECONOMY, PREMIUM_ECONOMY, BUSINESS, or FIRST ·

· max_stops · string · ANY, NON_STOP, ONE_STOP, or TWO_PLUS_STOPS ·

· departure_window · string · Time window in 'HH-HH' format (e.g., '6-20') ·

· airlines · list · Filter by airline codes (e.g., ['BA', 'AA']) ·

· exclude_airlines · list · Airline IATA codes to exclude (e.g., ['DL', 'B6']) ·

· alliance · list · Restrict to alliances: ONEWORLD, SKYTEAM, STAR_ALLIANCE ·

· exclude_alliance · list · Alliance names to exclude from results ·

· min_layover · int · Minimum layover duration in minutes (multi-stop only) ·

· max_layover · int · Maximum layover duration in minutes (multi-stop only) ·

· top_n · int · Round-trip only: outbound options expanded into return flights (default 5, 1-10) ·

· currency · string · ISO 4217 code (e.g. 'EUR', 'JPY') — flows to curr= param ·

· language · string · BCP-47 language code (e.g. 'en-GB') — flows to hl= param ·

· country · string · ISO 3166-1 alpha-2 country code (e.g. 'GB') for gl= param ·

· sort_by · string · CHEAPEST, DURATION, DEPARTURE_TIME, or ARRIVAL_TIME ·

· passengers · int · Number of adult passengers ·

· children · int · Number of children (ages 2-11) ·

· infants_in_seat · int · Number of infants (under 2) occupying their own seat ·

· infants_on_lap · int · Number of lap infants (under 2, no seat) ·

Total travelers (passengers + children + infants_in_seat + infants_on_lap) must be

between 1 and 9, and infants_on_lap cannot exceed passengers.

A round trip costs 1 + top_n page fetches (one outbound search, plus one per

outbound candidate expanded into return flights), so top_n is capped at 10. Round-trip

results all from one airline? Raise top_n, or sort differently — the default sort only

ever expands the cheapest top_n outbounds, which are often the same carrier.

search_dates Parameters

· Parameter · Type · Description ·

· origin · string · Departure airport IATA code(s) — comma-separated for multi ·

· destination · string · Arrival airport IATA code(s) — comma-separated for multi ·

· start_date · string · Start of date range in YYYY-MM-DD format ·

· end_date · string · End of date range in YYYY-MM-DD format ·

· trip_duration · int · Trip duration in days (for round-trips) ·

· is_round_trip · bool · Whether to search for round-trip flights ·

· cabin_class · string · ECONOMY, PREMIUM_ECONOMY, BUSINESS, or FIRST ·

· max_stops · string · ANY, NON_STOP, ONE_STOP, or TWO_PLUS_STOPS ·

· departure_window · string · Time window in 'HH-HH' format (e.g., '6-20') ·

· airlines · list · Filter by airline codes (e.g., ['BA', 'AA']) ·

· exclude_airlines · list · Airline IATA codes to exclude ·

· alliance · list · Restrict to alliances: ONEWORLD, SKYTEAM, STAR_ALLIANCE ·

· exclude_alliance · list · Alliance names to exclude ·

· min_layover · int · Minimum layover duration in minutes ·

· max_layover · int · Maximum layover duration in minutes ·

· currency · string · ISO 4217 currency code (e.g. 'EUR', 'JPY') ·

· language · string · BCP-47 language code (e.g. 'en-GB') ·

· country · string · ISO 3166-1 alpha-2 country code (e.g. 'GB') ·

· sort_by_price · bool · Sort results by price (lowest first) ·

· passengers · int · Number of adult passengers ·

· children · int · Number of children (ages 2-11) ·

· infants_in_seat · int · Number of infants (under 2) occupying their own seat ·

· infants_on_lap · int · Number of lap infants (under 2, no seat) ·

Same passenger limits as search_flights: total 1-9, infants_on_lap ≤ passengers.

Quick Start

pip install flights
# Install using pipx (recommended for CLI)
pipx install flights

# Get started with CLI
fli --help

Features

  • 🔍 Powerful Search
  • One-way flight searches
  • Multi-city flight searches
  • Flexible departure times
  • Multi-airline support
  • Cabin class selection
  • Stop preferences
  • Custom result sorting
  • 💺 Cabin Classes
  • Economy
  • Premium Economy
  • Business
  • First
  • 🎯 Smart Sorting
  • Price
  • Duration
  • Departure Time
  • Arrival Time
  • 🛡️ Built-in Protection
  • Rate limiting
  • Automatic retries
  • Comprehensive error handling
  • Input validation

Search transport

Searches are served by Google's public search page rather than the

FlightsFrontendService RPC. Since 2026-08 GetShoppingResults and

GetCalendarGraph require an x-goog-batchexecute-bgr header that only the

page's own JavaScript can produce, so a plain HTTP client gets HTTP 200 with no

payload. Fli issues GET https://www.google.com/travel/flights?tfs=<protobuf>

instead and reads the results out of the page's inline AF_initDataCallback

blob keyed ds:1.

What that means in practice:

  • Three filters are not supported. emissions, bags and

exclude_basic_economy have no tfs field and cannot be reconstructed from

the decoded rows, so they are dropped with a warning. Stops, cabin,

passengers, alliances and layover bounds ride in the request; airline

include/exclude, price cap, max duration and departure windows are applied to

the results after fetching.

  • Multi-city raises SearchUnsupportedError. Google loads those results

client-side through the gated RPC, so the page carries no rows to read.

Search each leg separately.

  • get_booking_options is unavailable. It calls GetBookingResults, which

is gated the same way, and currently raises SearchRejectedError. The

per-flight tfs booking deep links are built offline and still work.

  • Fewer rows per search. Expect roughly 20-45 itineraries, fewer than the

old RPC returned — and a client-side filter cannot back-fill the list the way

Google's server-side one did.

  • Children and infants thin the results — sometimes to nothing. Google

prices those parties client-side, so the page inlines fewer itineraries for

them, and in premium cabins often none (measured 2026-09: JFK→LHR economy

23 rows for one adult, 16 with an infant; SFO→NRT business 9 rows for one

or two adults, 0 with a child). Extra adults cost nothing. An empty result

for such a search does not mean the route has no flights — and neither

does it mean this is why: search() only warns when the fetched page

itself came back with zero rows, not when the caller's own airline/price/

duration/window filter removed rows Google did return. An adults-only

search shows the schedule.

  • Date searches cost one page fetch per date. The page has no calendar

grid, so a range is priced date by date; one SearchDates.search covers at

most 93 dates and a wider range raises ValueError. Budget for it: 93 dates

across 10 workers is several hundred MB of pages and parsed JSON at peak.

A sweep that never manages to load a single page — the shape a blocked or

consent-gated client produces — gives up after a handful of dates rather than

paying the retry budget on all of them. Only pages served without results

count towards that: a timeout or a dropped connection says nothing about the

dates not yet tried, so those never abandon a sweep. Measured with the real backoff: **42

page fetches** (bounded at 45, so up to ~135 HTTP requests once the client's

own retries multiply in) and about 4 seconds, the same whether the range is 30

days or 93. Unbroken, a 93-date range would have cost 279 fetches and up to

837 requests. The bound is (5 + worker count) x 3, so raising

configure_concurrency raises it proportionally. That breaker disarms for

good the moment any page loads, even an empty one, so it cannot catch a

sweep that is mostly timeouts around one lucky date — SearchDates.search

raises that case too, whenever nothing priced and at least half the

attempted dates never loaded. A minority of failures alongside real

results, or alongside a confirmed-empty range (None), still returns

normally but logs one warning naming the counts.

  • A page occasionally arrives without results. Roughly one request in sixty

returns HTTP 200 with no ds:1 blob; the client retries that case up to twice

(0.5s then 1.5s) before raising SearchParseError. A healthy search never

pays for it.

  • FLI_SOCS_COOKIE. EU/EEA IPs are redirected to Google's consent

interstitial, which serves no ds:1 blob. The client sends a pre-accepted

SOCS consent cookie by default; set FLI_SOCS_COOKIE to change the value,

or to an empty string to send none.

  • FLI_CA_BUNDLE / CURL_CA_BUNDLE / REQUESTS_CA_BUNDLE. Behind a

TLS-intercepting corporate proxy, set one of these (checked in that order)

to a PEM CA bundle path. A bad or missing path, or a certificate the bundle

doesn't cover, raises SearchCertificateError naming the variable — the

client does not retry it, since a fixed bundle either verifies or it doesn't.

Read once per worker thread on its first request; changing the value

doesn't affect a thread's already-created session.

CLI Usage

Search for Flights

# Basic flight search
fli flights JFK LHR 2026-10-25

# Advanced search with filters
fli flights JFK LHR 2026-10-25 \
    --time 6-20 \             # Departure time window (6 AM - 8 PM)
    --airlines BA,KL \        # Airlines (British Airways, KLM)
    --class BUSINESS \        # Cabin class
    --stops NON_STOP \        # Non-stop flights only
    --sort DURATION           # Sort by duration

# Alliance + exclude + locale (May-2026 filter additions)
fli flights JFK LHR 2026-10-25 \
    --alliance ONEWORLD \
    --exclude-airlines AA \
    --min-layover 90 \
    --max-layover 360 \
    --currency EUR --language en-GB --country GB

# Round trip: raise --top-n to see more airlines (default 5, max 10, costs 1 + top_n
# page fetches per search)
fli flights JFK LHR 2026-10-25 --return 2026-11-01 --top-n 8

# Family mix: 2 adults, 1 child, 1 lap infant (total must be 1-9)
fli flights JFK LHR 2026-10-25 --passengers 2 --children 1 --infants-on-lap 1

⚠️ Experimental

--format json is experimental. The JSON schema may change while the machine-readable CLI contract settles.

```bash

# Return machine-readable flight results

fli flights JFK LHR 2026-10-25 --format json

```

Find Cheapest Dates

# Basic date search
fli dates JFK LHR

# Advanced search with date range
fli dates JFK LHR \
    --from 2026-01-01 \
    --to 2026-02-01 \
    --monday --friday      # Only Mondays and Fridays

⚠️ Experimental

--format json is experimental for date searches as well.

```bash

# Return machine-readable date search results

fli dates JFK LHR --from 2026-01-01 --to 2026-02-01 --format json

```

Multi-city Search

# Two-leg multi-city trip
fli multi --leg SEA,HKG,2026-12-26 --leg PEK,SEA,2027-01-02

# Three-leg multi-city trip with filters
fli multi \
    -l SEA,NRT,2026-12-26 \
    -l NRT,HKG,2026-12-30 \
    -l HKG,SEA,2027-01-05 \
    --class BUSINESS \
    --stops 0

CLI Options

Flights Command (fli flights)

· Option · Description · Example ·

· --return, -r · Return date · 2026-10-30 ·

· --time, -t · Departure time window · 6-20 ·

· --airlines, -a · Airline IATA codes · BA,KL ·

· --exclude-airlines, -A · Airline IATA codes to exclude · DL,B6 ·

· --alliance · Restrict to alliance(s) · ONEWORLD, SKYTEAM ·

· --exclude-alliance · Alliance(s) to exclude · STAR_ALLIANCE ·

· --min-layover · Minimum layover (minutes) · 90 ·

· --max-layover · Maximum layover (minutes) · 360 ·

· --top-n · Round-trip only: outbound options expanded into return flights (default 5, 1-10) · 8 ·

· --currency · ISO 4217 currency code · EUR, JPY ·

· --language · BCP-47 language code (Google hl=) · en-GB ·

· --country · ISO 3166-1 alpha-2 country (gl=) · GB ·

· --class, -c · Cabin class · ECONOMY, BUSINESS ·

· --stops, -s · Maximum stops · NON_STOP, ONE_STOP ·

· --sort, -o · Sort results by · CHEAPEST, DURATION ·

· --passengers, -p · Number of adult passengers · 2 ·

· --children · Number of children (ages 2-11) · 1 ·

· --infants-in-seat · Number of infants occupying their own seat · 1 ·

· --infants-on-lap · Number of lap infants (must be ≤ adults) · 1 ·

· --format · Output format · text, json ·

Total passengers (adults + children + infants) must be between 1 and 9.

--top-n only applies to round trips (it is rejected if set on a one-way search) and

costs 1 + top_n page fetches. Round-trip results all from one airline? Raise --top-n

(up to 10), or --sort differently — the default sort only expands the cheapest

top_n outbounds, which are often the same carrier.

Dates Command (fli dates)

· Option · Description · Example ·

· --from · Start date · 2026-01-01 ·

· --to · End date · 2026-02-01 ·

· --duration, -d · Trip duration in days · 3 ·

· --round, -R · Round-trip search · (flag) ·

· --airlines, -a · Airline IATA codes · BA,KL ·

· --exclude-airlines, -A · Airline IATA codes to exclude · DL,B6 ·

· --alliance · Restrict to alliance(s) · ONEWORLD ·

· --exclude-alliance · Alliance(s) to exclude · STAR_ALLIANCE ·

· --min-layover · Minimum layover (minutes) · 90 ·

· --max-layover · Maximum layover (minutes) · 360 ·

· --currency · ISO 4217 currency code · EUR, JPY ·

· --language · BCP-47 language code · en-GB ·

· --country · ISO 3166-1 alpha-2 country · GB ·

· --class, -c · Cabin class · ECONOMY, BUSINESS ·

· --stops, -s · Maximum stops · NON_STOP, ONE_STOP ·

· --time · Departure time window · 6-20 ·

· --sort · Sort by price · (flag) ·

· --[day] · Day filters · --monday, --friday ·

· --passengers, -p · Number of adult passengers · 2 ·

· --children · Number of children (ages 2-11) · 1 ·

· --infants-in-seat · Number of infants occupying their own seat · 1 ·

· --infants-on-lap · Number of lap infants (must be ≤ adults) · 1 ·

· --format · Output format · text, json ·

Multi Command (fli multi)

· Option · Description · Example ·

· --leg, -l · Flight leg (ORIGIN,DEST,DATE format) · SEA,HKG,2026-12-26 ·

· --time, -t · Departure time window · 6-20 ·

· --airlines, -a · Airline IATA codes · DL CX ·

· --class, -c · Cabin class · ECONOMY, BUSINESS ·

· --stops, -s · Maximum stops · NON_STOP, ONE_STOP ·

· --sort, -o · Sort results by · CHEAPEST, DURATION ·

· --passengers, -p · Number of adult passengers · 2 ·

· --children · Number of children (ages 2-11) · 1 ·

· --infants-in-seat · Number of infants occupying their own seat · 1 ·

· --infants-on-lap · Number of lap infants (must be ≤ adults) · 1 ·

MCP Server Integration

Fli includes a Model Context Protocol (MCP) server that allows AI assistants like Claude to search for flights directly.

This enables natural language flight search through conversation.

Running the MCP Server

# Run the MCP server on STDIO
fli-mcp

# Or with uv (for development)
uv run fli-mcp

# Or with make (for development)
make mcp

# Run the MCP server over HTTP (streamable)
fli-mcp-http  # serves at http://127.0.0.1:8000/mcp/

Claude Desktop Configuration

To use the flight search capabilities in Claude Desktop, add this configuration to your claude_desktop_config.json:

Location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)

{
  "mcpServers": {
    "flight-search": {
      "command": "fli-mcp",
      "args": []
    }
  }
}

After adding this configuration:

  • Restart Claude Desktop
  • You can now ask Claude to search for flights naturally:
  • "Find flights from JFK to LAX on December 25th"
  • "What are the cheapest dates to fly from NYC to London in January?"
  • "Search for business class flights from SFO to NRT with no stops"

Python API Usage

Basic Search Example

from datetime import datetime, timedelta
from fli.models import (
    Airport,
    PassengerInfo,
    SeatType,
    MaxStops,
    SortBy,
    FlightSearchFilters,
    FlightSegment
)
from fli.search import SearchFlights

# Create search filters
filters = FlightSearchFilters(
    passenger_info=PassengerInfo(adults=1),
    flight_segments=[
        FlightSegment(
            departure_airport=[[Airport.JFK, 0]],
            arrival_airport=[[Airport.LAX, 0]],
            travel_date=(datetime.now() + timedelta(days=30)).strftime("%Y-%m-%d"),
        )
    ],
    seat_type=SeatType.ECONOMY,
    stops=MaxStops.NON_STOP,
    sort_by=SortBy.CHEAPEST,
)

# Search flights
search = SearchFlights()
flights = search.search(filters)

# Process results
for flight in flights:
    print(f"💰 Price: ${flight.price}")
    print(f"⏱️ Duration: {flight.duration} minutes")
    print(f"✈️ Stops: {flight.stops}")

    for leg in flight.legs:
        print(f"\n🛫 Flight: {leg.airline.value} {leg.flight_number}")
        print(f"📍 From: {leg.departure_airport.value} at {leg.departure_datetime}")
        print(f"📍 To: {leg.arrival_airport.value} at {leg.arrival_datetime}")

Running Examples

Runnable examples live in examples/python/ ↗:

# Run examples with uv (recommended)
uv run python examples/python/basic_one_way_search.py
uv run python examples/python/round_trip_search.py
uv run python examples/python/date_range_search.py

# Or install dependencies first, then run directly
pip install pydantic curl_cffi httpx
python examples/python/basic_one_way_search.py

Available Examples:

  • basic_one_way_search.py - Simple one-way flight search
  • round_trip_search.py - Round-trip flight booking
  • date_range_search.py - Find cheapest dates
  • multi_city_search.py - Multi-city itinerary across several legs
  • advanced_filters_search.py - Alliances, airline exclusions, layovers, locale
  • complex_flight_search.py - Advanced filtering and multi-passenger
  • time_restrictions_search.py - Time-based filtering
  • date_search_with_preferences.py - Weekend filtering
  • price_tracking.py - Price monitoring over time
  • error_handling_with_retries.py - Robust error handling
  • result_processing.py - Data analysis with pandas
  • complex_round_trip_validation.py - Advanced round-trip with validation
  • advanced_date_search_validation.py - Complex date search with filtering

Examples

Examples are organized by language, with parallel scripts so you can compare the

two APIs:

# Python
uv run python examples/python/complex_flight_search.py

# TypeScript (from examples/typescript, after `bun install`)
bun run multi_city_search.ts

Example Categories:

  • Basic Usage: One-way, round-trip, date searches
  • Advanced Filtering: Time restrictions, airlines, alliances, seat classes, locale
  • Data Analysis: Price tracking, result processing with pandas
  • Error Handling: Retry logic, robust error management
  • Complex Scenarios: Multi-city, multi-passenger, validation, business rules

Each example is self-contained — change the airports, dates, and filters at the top of the script to fit your search.

TypeScript / JavaScript

Fli is also available as a 1:1 TypeScript port, published to npm as

fli-js ↗. Same models, same filter encoding,

same direct-API approach.

bun add fli-js   # or: npm install fli-js
import { Airport, FlightSearchFilters, FlightSegment, SearchFlights, SeatType } from "fli-js";

const inDays = (n: number) => new Date(Date.now() + n * 86_400_000).toISOString().slice(0, 10);

const filters = new FlightSearchFilters({
  passenger_info: { adults: 1, children: 0, infants_in_seat: 0, infants_on_lap: 0 },
  flight_segments: [
    new FlightSegment({
      departure_airport: [[[Airport.JFK, 0]]],
      arrival_airport: [[[Airport.LAX, 0]]],
      travel_date: inDays(30),
    }),
  ],
  seat_type: SeatType.ECONOMY,
});

const results = await new SearchFlights().search(filters, { currency: "USD" });

fli-js uses the same search-page transport as the Python package (see

Search transport above), with the same consequences:

emissions / bags / exclude_basic_economy are dropped with a warning,

multi-city throws SearchUnsupportedError, getBookingOptions throws

SearchRejectedError, date searches cost one page fetch per date and are

capped at 93, and FLI_SOCS_COOKIE controls the consent cookie.

The TypeScript source lives in fli-js/ ↗; see the

TypeScript Quick Start ↗

for the full guide.

Development

# Clone the repository
git clone https://github.com/punitarani/fli.git
cd fli

# Install dependencies with uv
uv sync --all-extras

# Run tests (offline only — no network access required)
uv run pytest

# Run linting
uv run ruff check .
uv run ruff format .

# Build documentation
uv run mkdocs serve

# Or use the Makefile for common tasks
make install-all  # Install all dependencies
make test         # Run tests (offline only)
make test-live    # Run the small, stable live tests (real network)
make lint         # Check code style
make format       # Format code

Tests that call the real Google Flights API are marked live and skipped by

default (--fuzz, --live and --all are independent, skip-only gates —

--all does *not* imply --live, and --live alone does *not* imply

--fuzz). Run the small, stable live set with make test-live (or

pytest -m live --live); the noisier 100-case fuzz-gated live test is a

separate opt-in, make test-live-fuzz (`pytest --all -m live --live

tests/search/test_search_flights_fuzz.py — it needs --all/--fuzz`

*together with* --live, since it carries both markers).

Docker Development

# Build the devcontainer
docker build -t fli-dev -f .devcontainer/Dockerfile .

# Run CI inside the container
docker run --rm fli-dev make lint test-all

# Or run lint and tests separately
docker run --rm fli-dev make lint
docker run --rm fli-dev make test-all

Running CI Locally with act

To run GitHub Actions locally, install act ↗:

brew install act

# Run CI locally (lint + tests on Python 3.10-3.13)
make ci

# Or run CI inside Docker (no local act installation needed)
make ci-docker

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License — see the LICENSE file for details.

Вопросы и ответы

Что делает MCP-сервер Fli?

Ищет авиабилеты в Google Flights: рейсы на конкретную дату с фильтрами по классу, пересадкам, авиакомпаниям и альянсам, а также самые дешёвые даты в диапазоне.

Как подключить Fli к Claude, Cursor или VS Code?

Fli ставится вручную по инструкции автора в README: обычно нужно установить программу или плагин, а потом добавить сервер в настройки агента. Ссылка на инструкцию — в блоке «Подключение».

Что нужно для работы Fli?

Python и пакет flights (pipx).

Fli бесплатный?

Код сервера открыт на GitHub под лицензией MIT. Платить нужно только за саму нейросеть, которой вы пользуетесь.

Что такое MCP-сервер?

MCP (Model Context Protocol) — открытый стандарт, по которому ИИ-агенты подключаются к внешним программам и данным. MCP-сервер даёт модели новые инструменты: открыть страницу, прочитать файл, сделать запрос к базе или сервису.

Безопасно ли подключать MCP-серверы?

MCP-сервер выполняет действия от вашего имени, поэтому ставьте серверы из проверенных источников, давайте ключам минимальные права и проверяйте, что агент делает с файлами и сервисами. Не публикуйте ключи в открытых файлах настроек.

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