Cover image
Try Now
2025-04-07

在线计划中心MCP服务器

3 years

Works with Finder

1

Github Watches

0

Github Forks

0

Github Stars

Planning Center Online API and MCP Server Integration

This project integrates the Planning Center Online (PCO) API with an MCP server to enable seamless interaction with a Large Language Model (LLM). The goal is to allow users to ask questions and retrieve data from Planning Center in a conversational manner.

Features

  • PCO API Integration: Connects to Planning Center Online to access and manage data.
  • FASTMCP Server: Acts as a middleware to handle requests and responses between the LLM and PCO API.
  • LLM Query Support: Enables natural language queries to fetch and manipulate data from Planning Center.

Use Cases

  • Retrieve information about services in Planning Center.
  • Automate workflows by querying and updating data using natural language.
  • Provide insights and analytics through conversational queries.

Getting Started

Prerequisites

  • Access to the Planning Center API.
  • Python environment
  • MCP Client (i.e. Claude Desktop)
  • API keys for authentication.

Installation

  1. Clone this repository:

    git clone https://github.com/your-repo/pco-mcp-integration.git  
    
  2. Install dependencies:

    uv pip install -r requirements.txt 
    
  3. Configure environment variables:

    • PCO_SECRET_KEY: Your Planning Center API key.
    • PCO_APPLICATION_ID: URL of the MCP server.
  4. Test the server:

    fastmcp dev services.py
    

Usage

  1. Send a natural language query to the MCP server.
  2. The server processes the query and interacts with the PCO API.
  3. Receive a structured response or perform the requested action.

Add MCP server config

{
  "mcpServers": {
    "pco-services": {
      "command": "/Users/calvarychapelnewharvest/anaconda3/envs/mcp/bin/fastmcp",
      "args": [
        "run",
        "/Users/calvarychapelnewharvest/Documents/pco-mcp/services.py"
      ]
    }
  }
}

Future Work

It is intended to continue work on other areas of planning center.

Contributing

Contributions are welcome! Please submit a pull request or open an issue for any suggestions or improvements.

License

This project is licensed under the MIT License.

Resources

相关推荐

  • 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.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

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

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

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

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

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://zenepic.net
  • Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • patruff
  • Ollama和MCP服务器之间的桥梁,使本地LLMS可以使用模型上下文协议工具

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

  • JackKuo666
  • 🔍使AI助手可以通过简单的MCP接口搜索和访问PYPI软件包信息。

  • av
  • 毫不费力地使用一个命令运行LLM后端,API,前端和服务。

  • appcypher
  • 很棒的MCP服务器 - 模型上下文协议服务器的策划列表

    Reviews

    2 (1)
    Avatar
    user_PjAt07hw
    2025-04-17

    I've been using pco-mcp and I'm thoroughly impressed with its performance and ease of use. The tool by jake-ccnh is a game-changer for managing MCP applications. The product is well-documented, and the GitHub repository is regularly updated. Highly recommend for anyone looking to streamline their MCP processes. Check it out at https://github.com/jake-ccnh/pco-mcp!