Planning Center Online API and MCP Server Integration

What is Planning Center Online API and MCP Server Integration?

This integration connects the Planning Center Online (PCO) API with an MCP server, enabling a Large Language Model (LLM) to answer natural language queries and retrieve data from Planning Center. It is designed for users who want to interact with their Planning Center data conversationally.

How to use Planning Center Online API and MCP Server Integration?

Clone the repository, install dependencies with uv pip install -r requirements.txt, and configure PCO_SECRET_KEY and PCO_APPLICATION_ID as environment variables. Test the server using fastmcp dev services.py, then add the provided MCP server configuration to your MCP client (e.g., Claude Desktop). Send natural language queries to the server, which processes them and interacts with the PCO API to return structured responses or perform actions.

Key features of Planning Center Online API and MCP Server Integration

• PCO API integration to access and manage Planning Center data
• FASTMCP server acting as middleware between LLM and PCO API
• LLM query support for natural language data retrieval and manipulation

Use cases of Planning Center Online API and MCP Server Integration

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

FAQ from Planning Center Online API and MCP Server Integration

What are the prerequisites to use this integration?

You need access to the Planning Center API, a Python environment, an MCP client (such as Claude Desktop), and API keys for authentication.

How do I configure authentication?

Set the environment variables PCO_SECRET_KEY for your Planning Center API key and PCO_APPLICATION_ID for the URL of the MCP server.

What transport or protocol does the server use?

The README does not specify the underlying transport; it references FASTMCP and demonstrates usage via an MCP client configuration using the fastmcp run command.

Are there any known limitations or planned expansions?

The project states that future work intends to continue development on other areas of Planning Center, implying current scope may be limited to services.

What dependencies are required?

You need Python, the packages listed in requirements.txt (installed via uv pip install), and access to the Planning Center Online API.