Cover image
Try Now
2025-03-05

The Gatherings MCP Server provides an API that allows AI assistants to interact with the Gatherings application through the Machine Conversation Protocol. This enables AI systems to help users manage shared expenses for social events, outings, or any gathering where costs are split among participants.

3 years

Works with Finder

1

Github Watches

1

Github Forks

0

Github Stars

Gatherings MCP Server

A Machine Conversation Protocol (MCP) server interface for the Gatherings expense-sharing application.

Overview

The Gatherings MCP Server provides an API that allows AI assistants to interact with the Gatherings application through the Machine Conversation Protocol. This enables AI systems to help users manage shared expenses for social events, outings, or any gathering where costs are split among participants.

Features

  • Create and manage gatherings with multiple members
  • Add expenses for specific members
  • Calculate fair reimbursements
  • Record payments and reimbursements
  • Generate detailed payment summaries
  • Add/remove members from gatherings
  • Rename members as needed

Installation

Prerequisites

  • Python 3.8+
  • SQLAlchemy
  • MCP SDK

Setup

  1. Clone this repository:

    git clone https://your-repository.git
    cd accel
    
  2. Install the required dependencies:

    pip install -r requirements.txt
    
  3. Set environment variables (optional):

    # Custom database location
    export GATHERINGS_DB_PATH=path/to/database.db
    
    # Custom script location
    export GATHERINGS_SCRIPT=path/to/gatherings.py
    

Usage

Start the MCP server:

python gatherings_mcp_server.py

The server runs on stdio, which makes it compatible with MCP protocol clients.

API Reference

The MCP server exposes the following tools:

create_gathering(gathering_id: str, members: int)

Create a new gathering with the specified number of members.

add_expense(gathering_id: str, member_name: str, amount: float)

Add an expense for a member in a gathering.

calculate_reimbursements(gathering_id: str)

Calculate who owes what to whom for a gathering.

record_payment(gathering_id: str, member_name: str, amount: float)

Record a payment made by a member (positive value) or a reimbursement to a member (negative value).

rename_member(gathering_id: str, old_name: str, new_name: str)

Rename a member in a gathering.

show_gathering(gathering_id: str)

Show details of a gathering including expenses and payment status.

list_gatherings()

List all gatherings in the database.

close_gathering(gathering_id: str)

Mark a gathering as closed.

delete_gathering(gathering_id: str, force: bool = False)

Delete a gathering and all associated data. Set force=True to delete closed gatherings.

add_member(gathering_id: str, member_name: str)

Add a new member to an existing gathering.

remove_member(gathering_id: str, member_name: str)

Remove a member from a gathering (only if they have no expenses).

Example Flow

  1. Create a gathering for a dinner with 5 friends:

    create_gathering("2023-10-15-dinner", 5)
    
  2. Add expenses as people pay for things:

    add_expense("2023-10-15-dinner", "Alice", 120.50)
    add_expense("2023-10-15-dinner", "Bob", 35.00)
    
  3. Calculate reimbursements:

    calculate_reimbursements("2023-10-15-dinner")
    
  4. Record payments as people settle up:

    record_payment("2023-10-15-dinner", "Charlie", 31.10)
    
  5. Close the gathering when all payments are settled:

    close_gathering("2023-10-15-dinner")
    

Architecture

The Gatherings MCP server consists of three main components:

  1. MCP Server Interface (gatherings_mcp_server.py): Provides the MCP protocol interface that AI tools can interact with.

  2. Service Layer (services.py): Contains business logic for managing gatherings, expenses, and payments.

  3. Data Layer (models.py): Defines the database schema using SQLAlchemy ORM and handles data persistence.

Data Model

  • Gathering: Represents a social event with expenses to split
  • Member: A participant in a gathering
  • Expense: Money spent by a member for the gathering
  • Payment: Money paid by a member to settle balances

Contributing

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

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Bora Yalcin
  • Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Callycode Limited
  • A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Khalid kalib
  • Write professional emails

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Beniyam Berhanu
  • Therapist adept at identifying core issues and offering practical advice with images.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • apappascs
  • Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.

  • ShrimpingIt
  • Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx

  • OffchainLabs
  • Go implementation of Ethereum proof of stake

  • huahuayu
  • A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.

  • deemkeen
  • control your mbot2 with a power combo: mqtt+mcp+llm

    Reviews

    1 (1)
    Avatar
    user_oKlPcSYq
    2025-04-15

    I've been using the bilibili_mcp_server_full product by Jasonw372, and it's been fantastic. The server setup process was seamless, and it offers excellent performance and stability for my Bilibili projects. The comprehensive documentation and prompt support make it a top-notch choice. Highly recommended!