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Nexus MCP

Features

  • Google Calendar Integration

    • Create, read, update, and delete calendar events

    • List upcoming events

  • Obsidian Vault Management

    • Create, read, update, and delete notes

    • Full-text search in notes

    • Folder management (create, delete, search, list)

  • Trello Integration

    • Board, list, and card management

    • Create, update, and delete cards

    • Search cards by text query

  • Web Page Parsing

    • Extract and clean HTML content from any URL

  • Google News Search

    • Search for recent news articles on a given topic

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Prerequisites

  • Python 3.10 or higher

  • Poetry (Python package manager)

  • Google Calendar API credentials

  • Trello API credentials (if using Trello features)

  • Obsidian Vault (if using Obsidian features)

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/nexus-mcp.git cd nexus-mcp
  2. Install dependencies using Poetry:

    poetry install
  3. Set up Google Calendar API:

    • Go to the Google Cloud Console

    • Create a new project or select an existing one

    • Enable the Google Calendar API

    • Create OAuth 2.0 credentials

    • Download the credentials and save them as credentials.json in the project root

  4. Set up Trello API (optional):

Configuration

  1. Run the initial setup to authenticate with Google Calendar:

    poetry run python main.py
    • This will open a browser window for Google authentication

    • Follow the prompts to authorize the application

Usage

  1. Start the server:

    poetry run python main.py
  2. The server will start and be ready to accept MCP-compatible client connections.

  3. Use any MCP-compatible client to interact with the server. The server provides the following tools:

    • Calendar management

    • Obsidian vault operations

    • Trello board management

    • Web page parsing

Anthropic Claude Desktop Configuration

To use this server with Anthropic Claude Desktop, add the following configuration to your Claude Desktop settings:

{ "mcpServers": { "personal-assistant": { "command": "/path/to/your/venv/bin/python", "args": ["/path/to/your/project/main.py"], "env": { "GOOGLE_CREDENTIALS_PATH": "/path/to/your/credentials.json", "GOOGLE_TOKEN_PATH": "/path/to/your/token.json", "GOOGLE_API_KEY": "your_google_api_key", "GOOGLE_CX_ID": "your_google_cx_id", "OBSIDIAN_VAULT_PATH": "/path/to/your/obsidian/vault", "OBSIDIAN_DEFAULT_FOLDER": "your_default_folder", "TRELLO_API_KEY": "your_trello_api_key", "TRELLO_TOKEN": "your_trello_token", "LOG_PATH": "/path/to/log.txt", "ENABLE_OBSIDIAN_TOOLS": "True/False", "ENABLE_TRELLO_TOOLS": "True/False", "ENABLE_CALENDAR_TOOLS": "True/False", "ENABLE_NEWS_SEARCH": "True/False", "ENABLE_WEB_PARSER": "True/False", "SEMANTIC_SEARCH_ENABLED": "True/False", "EMBEDDINGS_PATH": "/path/to/embeddings.json" } } } }

Replace the paths and credentials with your actual values:

  • command: Path to your Python virtual environment's Python executable

  • args: Path to your project's main.py file

  • ENABLE_OBSIDIAN_TOOLS: Set to True to enable Obsidian tools

  • ENABLE_TRELLO_TOOLS: Set to True to enable Trello tools

  • ENABLE_CALENDAR_TOOLS: Set to True to enable Google Calendar tools

  • ENABLE_NEWS_SEARCH: Set to True to enable Google News search

  • ENABLE_WEB_PARSER: Set to True to enable the web parser tool

  • GOOGLE_CREDENTIALS_PATH: Path to your Google Calendar credentials file (credentials.json)

  • GOOGLE_TOKEN_PATH: Path to your Google Calendar token file (token.json)

  • GOOGLE_API_KEY: Your Google API Key (for Custom Search API)

  • GOOGLE_CX_ID: Your Google Programmable Search Engine ID (CX ID for Custom Search API)

  • OBSIDIAN_VAULT_PATH: Path to your Obsidian vault

  • OBSIDIAN_DEFAULT_FOLDER: Optional path to default folder in your vault where new notes will be created

  • TRELLO_API_KEY: Your Trello API key

  • TRELLO_TOKEN: Your Trello API token

  • LOG_PATH: Path to the log file

  • SEMANTIC_SEARCH_ENABLED: Set to True to enable semantic search for Obsidian Vault

  • SIMILARITY_TRESHOLD: Default value is 0.5, this is the treshold for the semantic search

  • EMBEDDINGS_PATH: Optional path to the embeddings json file generated by the Obsidian Vector Search plugin (defaults to .obsidian/plugins/vector-search/data.json relative to OBSIDIAN_VAULT_PATH if not set)

  • MODEL_TOKEN_LIMIT: Limit for the AI model to understand when to chunk the notes

  • CHUNK_SIZE_TOKENS: Chunk size

To enable semantic search capabilities, you'll need to install the Vector Search plugin for Obsidian.

img.png

After the reindexing process is complete, the plugin will generate a JSON file containing vector embeddings at the following location:

.obsidian/plugins/vector-search/data.json

This file will be used as the embedding source for semantic search queries.

Recommended clients:

Development

  • The project uses Poetry for dependency management

  • All tools are registered in main.py

  • Service-specific implementations are in the services/ directory

  • Follow PEP 8 style guidelines for Python code

Contributing

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add some amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request

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