
pco-mcp
Planning Center Online MCP Server
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
-
Clone this repository:
git clone https://github.com/your-repo/pco-mcp-integration.git
-
Install dependencies:
uv pip install -r requirements.txt
-
Configure environment variables:
-
PCO_SECRET_KEY
: Your Planning Center API key. -
PCO_APPLICATION_ID
: URL of the MCP server.
-
-
Test the server:
fastmcp dev services.py
Usage
- Send a natural language query to the MCP server.
- The server processes the query and interacts with the PCO API.
- 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
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
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.
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.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
🧑🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Reviews

user_PjAt07hw
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!