ita-matrix-mcp

ita-matrix-mcp

MCP server that searches ITA Matrix for complex flight itineraries, supporting multi-city trips and custom routing codes, to help plan intricate travel plans.

Category
访问服务器

README

ITA Matrix MCP

An MCP server that searches ITA Matrix — Google's fare engine, the one behind a lot of airline and OTA search — so Claude can plan genuinely complex itineraries.

The point of using Matrix over an ordinary flight search is two things it has that consumer sites don't: arbitrary multi-city trips and ITA's routing language, which lets you constrain each leg by carrier, connection point, alliance, or flight count.

Results are real, priced, availability-checked fares. They are not bookable here — take the flight numbers to the airline or an OTA to ticket them.

Tools

Tool What it does
search_flights The workhorse. 1–6 legs: one-way, round-trip, multi-city, open-jaw. Per-leg routing codes.
get_itinerary_details Expands one result into per-segment booking class (RBD), fare basis, and aircraft type.
search_flexible_dates Scans a date range for the cheapest departure date.
lookup_airport Resolves place names to IATA codes, including metro codes.
routing_language_reference The routing-code cheat sheet, so Claude can compose non-trivial codes.

Multi-city

A trip is a list of legs, so every trip shape uses one tool:

{
  "slices": [
    { "origin": "JFK", "destination": "HND", "date": "2026-10-15" },
    { "origin": "HND", "destination": "SIN", "date": "2026-10-22" },
    { "origin": "SIN", "destination": "JFK", "date": "2026-10-30",
      "routing": "AA+ LHR AA+" }   // last leg: American, via Heathrow
  ],
  "cabin": "BUSINESS"
}

Legs need not connect — JFK→LHR then CDG→JFK is a valid open jaw.

Routing codes

Per-leg, and the reason this beats normal search. AA+ = only American, ~ORD = never via Chicago, AA+ DFW AA+ = American connecting at Dallas, F F = exactly two flights. Extension codes go in extraCodes: maxconnect 240, alliance star-alliance, -overnight, f bc=J|C.

Call routing_language_reference for the full syntax.

Note: maxStops is relative to the route minimum, matching Matrix's own semantics — 0 means "no more hops than strictly necessary", which on a long-haul may still involve a connection.

Running it

Two entrypoints share one server definition:

npm install
node src/server.js        # stdio  — local Claude Code / Claude Desktop
node src/http-server.js   # HTTP   — remote, for Claude Desktop connectors

Local (stdio)

claude mcp add ita-matrix -- node D:/path/to/ITA-Matrix-MCP/src/server.js

Remote (Streamable HTTP)

Claude Desktop connects to remote servers from Anthropic's cloud, not from your machine, so the server needs a public HTTPS URL with a valid certificate. localhost and VPN-only hosts will not work. Remote servers are added under Settings → Connectors → Add custom connector; they cannot be configured through claude_desktop_config.json.

Deployed behind Coolify, the container speaks plain HTTP and Coolify's proxy terminates TLS.

Env var Default Purpose
PORT 3000 Listen port.
ITA_MATRIX_SECRET_PATH (unset) Mounts MCP at /mcp/<secret> instead of /mcp. The URL then acts as the credential.
ITA_MATRIX_ALLOWED_HOSTS (unset) Comma-separated Host allowlist, guarding against DNS rebinding.
ITA_MATRIX_API_KEY auto Pin the upstream key instead of discovering it.
ITA_MATRIX_TIMEOUT_MS 150000 Upstream timeout. Multi-city searches are slow.

GET /health returns status and active session count, for Coolify's health check.

Each HTTP session gets its own server instance. Idle sessions are swept after 30 minutes, and closed sessions are dropped immediately.

The search cache is process-wide rather than per-session, because MCP sessions are much shorter-lived than a user's train of thought — a reconnect or a 30-minute pause would otherwise throw away results the model was still holding a Search ID for. IDs carry a random suffix (s3-a7f2c9) so they stay unguessable between clients, and entries expire after 6 hours. If Matrix's own pricing session expires first, get_itinerary_details re-runs the original search and re-locates the itinerary by flight number rather than failing.

How it works

Matrix is a Google "Alkali" app fronting the old QPX fare engine. Every call is a single POST to content-alkalimatrix-pa.googleapis.com/batch, with the real JSON-RPC request wrapped in a multipart/mixed envelope. Auth is the public API key that the web app ships to every visitor — no cookies, no OAuth, no bot token.

  • POST /v1/search — run a fare search
  • POST /v1/summarize — expand one solution (RBDs, aircraft), reusing the search's session + solutionSet, so detail lookups skip the engine re-run
  • GET /v1/locationTypes/... — airport autocomplete

Key discovery. The key is not in the page HTML; it's in a gstatic Alkali bundle, which contains about seven AIza… strings of which only two are authorized for this API. So candidates are validated against a cheap endpoint before use, then cached for 30 days, rather than taking the first regex match. If Google rotates keys, the server re-discovers automatically.

Quirks handled. The engine refuses server-side price sorting on multi-slice trips, so sorting is always done client-side. Premium economy is PREMIUM-COACH on the wire while every other cabin uses the plain enum form. Matrix intermittently returns "service is currently unavailable"; that is retried with backoff.

Testing

node test/smoke.mjs                          # offline: stdio, schemas, errors
node test/http-smoke.mjs                     # offline: HTTP session lifecycle
ITA_MATRIX_LIVE=1 node test/smoke.mjs        # live: real searches (slow)
ITA_MATRIX_LIVE=1 node test/http-smoke.mjs

Live tests hit the real service and take 20–60s per search.

Caveats

  • Not affiliated with Google, ITA Software, or ITA Matrix.
  • Matrix's rate limits are undocumented. A publicly exposed instance draws that traffic to your server's IP.
  • If Google starts requiring the bgProgramResponse (WAA) anti-bot token, this approach needs token handling added.
  • Prior art: itamx, a Python CLI/MCP for the same API, which is where the protocol details were confirmed.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选