PlayStation Network

io.github.murzin-mlPublished by GitHub account murzin-mlv0.1.0Updated Oct 24, 2026

PlayStation Network (PSN) gaming history: playtime, trophies and purchased library.

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Overview

AI-generated overview

Lets an assistant read your PlayStation Network gaming history — playtime, trophies and purchased library — to recommend games from real data.

What you can do
Exposes tools over your own PSN account: a taste profile digest (top games by hours, favourite franchises, session habits, platinum rate, abandoned games, unlaunched purchases), a filterable library, per-game trophy lists, owned games, recently played, profile summary, and a cache refresh. A recommend_games prompt bundles profile building and recommendations. All requests are reads; nothing is written back to the account.
When to use it
Use it when you want game recommendations grounded in what you actually played and own, rather than generic suggestions, or when you want to inspect your playtime, trophy progress and backlog. It suits a local desktop client such as Claude Code, Claude Desktop or Codex CLI.
Requirements
Local Python 3.11+ process installed from PyPI (mcp-ps-store) or run from source. Needs a PSN NPSSO cookie, either stored via the psn-login command or supplied as the PSN_NPSSO environment variable; optional settings include PSN_STORE_LOCALE, PSN_TOKENS_PATH, PSN_CACHE_TTL, PSN_REQUEST_TIMEOUT and the HTTP transport variables. Network access to PSN is required. Desktop only; ChatGPT cannot launch a local process.
Before you install
The PSN_NPSSO cookie is a full account credential — treat it as a secret, and note it is stored alongside tokens in ~/.mcp-ps-store/tokens.json. The API used is unofficial and can change or break at any time. If you switch to HTTP transport and expose it through a tunnel, the server has no authentication of its own, so your PSN history becomes readable by anyone who finds the URL; keep it behind auth and only while needed.

Installation

In SourceWeft

  1. Open PlayStation Network in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

mcp-ps-store

MCP server for the PlayStation Network (PSN): it exposes your own gaming history — playtime, trophies, purchased library — so an AI assistant can recommend games from real data instead of guesswork.

Русская версия: README.ru.md.

About

PSN has no public API. This server talks to the same internal API the PlayStation mobile app uses, authenticating with an NPSSO cookie taken from a browser session. Every request is a read; nothing is ever written back to the account.

The layout follows a layered architecture: an API layer (MCP tools), a core layer (services, repositories, DTOs), a DI container and an infrastructure layer.

Core technologies

  • Language: Python 3.11+
  • Protocol: Model Context Protocol (mcp)
  • HTTP client: httpx (async)
  • DI container: dependency-injector
  • Settings: pydantic-settings
  • Dependency management: Poetry
  • Testing: Pytest, pytest-asyncio

What it exposes

ToolWhat it is for
psn_taste_profileThe main one: a single digest — top games by hours, favourite franchises, playstyle habits (average session, share of deep dives, platinum rate), games close to 100%, games abandoned after an hour, and purchases never launched. Start here for any recommendation question.
psn_libraryFilterable game list: search by title, sort by hours / last played / trophy progress, filter by platform, hours, dates and progress.
psn_game_trophiesEvery trophy of one game: earned or not, date, rarity, share of players who have it.
psn_owned_gamesWhat is already bought or claimed through PS Plus, with hours where known — so nothing already owned gets recommended.
psn_recently_playedWhat was launched most recently.
psn_profileOnline ID, PS Plus, trophy level, lifetime trophy counts.
psn_refreshDrops the response cache (PSN answers are cached for 10 minutes).

Plus a recommend_games prompt — a ready-made "build my profile and recommend games" scenario that takes an optional steer such as "something short" or "co-op for two".

Quick start

Python 3.11+ is required.

1. Install

With Poetry:

bash
poetry install

Or with a plain virtualenv:

bash
python3.11 -m venv .venv && .venv/bin/pip install -e .

2. Sign in to PSN

  1. Sign in at https://www.playstation.com in a browser.
  2. Open https://ca.account.sony.com/api/v1/ssocookie — it returns {"npsso":"..."}.
  3. Copy the 64-character npsso value and run:
bash
poetry run psn-login PASTE_NPSSO_HERE

Tokens go to ~/.mcp-ps-store/tokens.json with 0600 permissions.

About session lifetime. The access token lives an hour and the refresh token only ten days, but the NPSSO itself lives about two months. The NPSSO is therefore stored next to the tokens, and the server re-authenticates on its own when the refresh token dies. In practice one psn-login lasts about 60 days.

3. Check it works

bash
poetry run psn-doctor

It prints the account name, how many games are visible and the top five by hours.

Connecting a client

Claude Code

bash
claude mcp add ps-store -- /path/to/mcp-ps-store/.venv/bin/python -m app.main

Claude Desktop

In claude_desktop_config.json:

json
{  "mcpServers": {    "ps-store": {      "command": "/path/to/mcp-ps-store/.venv/bin/python",      "args": ["-m", "app.main"],      "cwd": "/path/to/mcp-ps-store"    }  }}

Codex CLI

Codex speaks stdio to local MCP servers, so it works the same way. Either run codex mcp add, or add this to ~/.codex/config.toml:

toml
[mcp_servers.ps-store]command = "/path/to/mcp-ps-store/.venv/bin/python"args = ["-m", "app.main"]cwd = "/path/to/mcp-ps-store"

Check it with /mcp inside a Codex session.

ChatGPT

ChatGPT cannot launch a local process. Custom connectors are added in Developer mode (Settings → Apps → Advanced) and must be a public HTTPS endpoint speaking SSE or Streamable HTTP. So the server has to be switched to HTTP transport and published:

bash
PSN_MCP_TRANSPORT=streamable-http PSN_MCP_PORT=8000 poetry run mcp-ps-store

Then expose http://127.0.0.1:8000/mcp over HTTPS — with OpenAI's Secure MCP Tunnel, or a tunnel such as cloudflared / ngrok — and add the resulting URL as a custom connector.

This publishes your PSN history to whoever finds the URL. The server has no authentication of its own, so put the tunnel behind auth, keep it running only while you need it, and prefer Codex CLI if a local client will do.

Configuration

All settings are read from the environment or a .env file (see .env.example).

VariableDefaultMeaning
PSN_NPSSO—NPSSO cookie. An alternative to psn-login: if set, the server signs in by itself.
PSN_TOKENS_PATH~/.mcp-ps-store/tokens.jsonWhere tokens are cached.
PSN_CACHE_TTL600How long PSN responses are reused, in seconds.
PSN_STORE_LOCALEen-usLocale used in store.playstation.com links.
PSN_REQUEST_TIMEOUT30HTTP timeout for PSN requests, in seconds.
PSN_MCP_TRANSPORTstdiostdio, streamable-http or sse.
PSN_MCP_HOST127.0.0.1Bind address for the HTTP transports.
PSN_MCP_PORT8000Port for the HTTP transports.

Limitations

  • Playtime exists only for PS4 / PS5 / PC versions. PSN reports PS3 and Vita games with trophies only, so they appear with hours: null.
  • There is no PS Store catalogue here. The store is entirely client-side, and its GraphQL API only accepts persisted queries whose hashes Sony rotates on every deploy — keeping that working is not realistic. Recommendation candidates come from the model's own knowledge of games, while psn_owned_games stops it suggesting something already bought.
  • The purchased library goes through PSN's private GraphQL API. If Sony changes the query, that one tool stops working; everything else keeps running and the digest gains a backlog_unavailable note.
  • Playtime and trophies are joined by title, so a re-release can merge with the original when they share a trophy set. Editions, platform suffixes and roman numerals are normalised away on purpose — Alan Wake II and Alan Wake 2 are one game.
  • The API is unofficial: Sony can change it at any time.

Project structure

.├── app/│   ├── api/              # MCP layer: tools, prompts, serialisers, tool errors│   │   ├── games/│   │   ├── profile/│   │   └── taste/│   ├── core/             # Business logic: services, repositories, DTOs│   │   ├── auth/         # NPSSO -> tokens, refresh, re-login│   │   ├── games/        # Library, playtime/trophy merge, name normalisation│   │   ├── profile/      # Account profile and trophy summary│   │   └── taste/        # Taste digest aggregation│   ├── di/               # DI containers and providers│   ├── infra/adapters/   # HTTP client, token storage, TTL cache│   ├── cli.py            # psn-login, psn-doctor│   └── main.py           # MCP server entry point├── settings/             # pydantic-settings configuration├── tests/│   ├── core/             # Merge and aggregation tests│   └── factories/        # Builders for test data└── pyproject.toml

Development

bash
poetry run pytest        # unit tests; no network and no account neededpoetry run psn-doctor    # live check against the signed-in account

License

MIT — see LICENSE.

Source: README.md at commit 9a6f981

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

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