pco-mcp
0
This project integrates the Planning Center Online (PCO) API with a Model Context Protocol (MCP) Server, allowing for conversational data retrieval and automation using a Large Language Model. It focuses on natural language queries to improve workflow efficiency.
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). It allows 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 the repository.
- Install dependencies.
- Configure environment variables.
- Test the server.
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.
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 suggestions or improvements.
License
This project is licensed under the MIT License.