PersonalizationMCP Details

PersonalizationMCP is a unified personal data hub built on MCP (Model Context Protocol) that enables AI assistants to access and reason over data from Steam, YouTube, Bilibili, Spotify, Reddit, and more. This repository showcases a Python-based MCP server that aggregates platform APIs, manages OAuth2 tokens, and exposes a rich set of tools to query user data, playlists, watch history, and social actions. It emphasizes local data handling, token management automation, and a modular architecture that makes it easy to add new platforms through the @mcp.tool() decorator and server integration. Ideal for developers building context-aware assistants who want a single, extensible backend to surface personal data across multiple services.

The MCP server is designed to run locally on your machine with secure configuration, offering multiple installation paths (conda, uv, or pip with virtualenv). It includes a comprehensive set of available tools organized by platform, robust token management (notably YouTube), and practical guidance for configuration, testing, and cursor-based integration with consumer apps like Cursor. The project also provides detailed setup steps for each platform, including how to obtain API keys, cookies, and OAuth credentials, ensuring a smooth path from zero to a functioning personal data hub.

Use Case

Use this MCP server to centralize access to personal data across multiple platforms for AI assistants. The server exposes a comprehensive suite of tools that let you query and analyze data such as Steam libraries and achievements, YouTube video details and subscriptions, Bilibili watch history and favorites, Spotify user data and playlists, and Reddit activity and messaging. It supports automated token management (especially for YouTube), and provides integration guidance for running the server locally in various environments. Example usage from the docs:

  • Quick Start: clone and run the server

  • git clone https://github.com/YangLiangwei/PersonalizationMCP.git

  • cd PersonalizationMCP

  • python server.py (or uv run python server.py depending on setup)

  • Installation options demonstrated in the docs:

  • Option A (Conda):

  • conda create -n personalhub python=3.12

  • conda activate personalhub

  • conda install lxml

  • pip install bilibili-api --no-deps

  • pip install -r requirements.txt

  • Option B (uv):

  • uv venv

  • uv sync

  • source .venv/bin/activate

  • uv pip install lxml

  • Option C (pip):

  • python -m venv venv

  • source venv/bin/activate

  • pip install lxml

  • pip install bilibili-api --no-deps

  • pip install -r requirements.txt

  • Cursor configuration examples (environment setup) are shown as JSON blocks, e.g.:

  • {
    "mcpServers": {
    "personalhub": {
    "command": "/absolute/path/to/your/project/venv/bin/python",
    "args": ["/absolute/path/to/your/project/server.py"],
    "env": {
    "STEAM_API_KEY": "your_steam_api_key",
    "STEAM_USER_ID": "your_steam_user_id",
    "YOUTUBE_API_KEY": "your_youtube_api_key",
    "BILIBILI_SESSDATA": "your_bilibili_sessdata",
    "BILIBILI_BILI_JCT": "your_bilibili_bili_jct",
    "BILIBILI_BUVID3": "your_bilibili_buvid3",
    "REDDIT_CLIENT_ID": "your_reddit_client_id",
    "REDDIT_CLIENT_SECRET": "your_reddit_client_secret"
    }
    }
    }
    }
  • Testing configuration examples:

  • # Test individual platforms
    test_steam_credentials()
    test_youtube_credentials()
    test_bilibili_credentials()
    test_reddit_credentials()

    # Check overall status
    get_personalization_status()

  • YouTube token management is automated: tokens are read/ refreshed from youtube_tokens.json; there is no need to manually add YOUTUBE_ACCESS_TOKEN in config.
  • Available Tools (75)

    Examples & Tutorials

    Real usage patterns and code examples from the docs:

  • Quick Start (clone and run):

  • git clone https://github.com/YangLiangwei/PersonalizationMCP.git
    cd PersonalizationMCP

  • Installation options (from the docs):

  • # Option A: Using conda (Recommended)
    conda create -n personalhub python=3.12
    conda activate personalhub
    conda install lxml
    pip install bilibili-api --no-deps
    pip install -r requirements.txt

    # Option B: Using uv
    uv venv
    uv sync
    source .venv/bin/activate
    uv pip install lxml
    uv pip install bilibili-api --no-deps
    uv pip install aiohttp beautifulsoup4 colorama PyYAML brotli urllib3

    # Option C: Using pip (Manual Multi-Step Installation)
    python -m venv venv
    source venv/bin/activate
    pip install lxml
    pip install bilibili-api --no-deps
    pip install -r requirements.txt


  • Cursor Configuration (examples shown in the docs):

  • {
    "mcpServers": {
    "personalhub": {
    "command": "/path/to/your/conda/envs/personalhub/bin/python",
    "args": ["/absolute/path/to/your/project/server.py"],
    "env": {
    "STEAM_API_KEY": "your_steam_api_key",
    "STEAM_USER_ID": "your_steam_user_id",
    "YOUTUBE_API_KEY": "your_youtube_api_key",
    "BILIBILI_SESSDATA": "your_bilibili_sessdata",
    "BILIBILI_BILI_JCT": "your_bilibili_bili_jct",
    "BILIBILI_BUVID3": "your_bilibili_buvid3",
    "REDDIT_CLIENT_ID": "your_reddit_client_id",
    "REDDIT_CLIENT_SECRET": "your_reddit_client_secret"
    }
    }
    }
    }

  • Running the server (Development section):

  • # Conda
    conda activate personalhub
    python server.py

    # uv
    uv run python server.py

    # pip with virtual environment
    source venv/bin/activate # On Windows: venv\Scripts\activate
    python server.py


  • Testing configuration (from the docs):

  • # Test individual platforms
    test_steam_credentials()
    test_youtube_credentials()
    test_bilibili_credentials()
    test_reddit_credentials()

    # Check overall status
    get_personalization_status()

    Installation Guide

    Step-by-step installation instructions with actual commands from the docs:

    1) Quick Start

  • git clone https://github.com/YangLiangwei/PersonalizationMCP.git

  • cd PersonalizationMCP

  • See detailed installation instructions: Installation and Setup (link in docs)
  • 2) Install Dependencies (three options shown in the docs)

  • Option A: Using conda (Recommended)

  • conda create -n personalhub python=3.12

  • conda activate personalhub

  • conda install lxml

  • pip install bilibili-api --no-deps

  • pip install -r requirements.txt

  • Option B: Using uv

  • uv venv

  • uv sync

  • source .venv/bin/activate # On Windows: .venv\Scripts\activate

  • uv pip install lxml

  • uv pip install bilibili-api --no-deps

  • uv pip install aiohttp beautifulsoup4 colorama PyYAML brotli urllib3

  • Option C: Using pip (Manual Multi-Step Installation)

  • python -m venv venv

  • source venv/bin/activate # On Windows: venv\Scripts\activate

  • pip install lxml

  • pip install bilibili-api --no-deps

  • pip install -r requirements.txt
  • 3) Configuration Setup

  • cp config.example config

  • Edit config with your credentials as shown in the docs.
  • 4) Cursor Configuration

  • See JSON examples in Cursor Configuration section of the docs.
  • Integration Guides

    Frequently Asked Questions

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    Important Notes

    Notes and cautions from the docs:

  • YouTube OAuth2 tokens are managed automatically; there is no need to manually add YOUTUBE_ACCESS_TOKEN in the configuration; tokens are read from youtube_tokens.json.

  • Bilibili cookies (sessdata, bili_jct, buvid3) can expire and require periodic updates.

  • You can configure platforms incrementally; missing credentials won't cause errors.

  • Local storage is used for API keys and tokens; no data is transmitted to third parties by the MCP server.
  • Prerequisites

    Prerequisites include: Python 3.12+ (as shown by the Python badge), obtaining API keys for Steam and YouTube, Bilibili cookies (sessdata, bili_jct, buvid3), Spotify client credentials, and Reddit client credentials. YouTube tokens are managed automatically via youtube_tokens.json; other tokens may require OAuth2 setup per platform.

    Details
    Last Updated1/2/2026
    Websitegithub.com
    SourceGitHub

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