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Repository Install

Planning Center Online MCP Server

概要

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. - : Connects to Planning Center Online to access and manage data. - : Acts as a middleware to handle requests and responses between the LLM and PCO API. - : Enables natural language queries to fetch and manipulate data from Planning Center. - Retrieve information about services in Planning Center. - Automate workflows by querying and updating data using natural language. - Provide insights and analytics through conversational queries. - Access to the Planning Center API. - Python environment - MCP Client (i.e. Claude Desktop) - API keys for authentication. 1. Clone this repository: 2. Install dependencies: 3. Configure environment variables: - PCO_SECRET_KEY: Your Planning Center API key.

README

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": "/path/to/fastmcp",
      "args": ["run", "/path/to/services.py"],
      "env": {
        "PCO_APPLICATION_ID": "PCO_CLIENT_ID",
        "PCO_SECRET_KEY": "PCO_CLIENT_SECRET_KEY"
      }
    }
}

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

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者？mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "pco-services": { "command": "/path/to/fastmcp", "args": ["run", "/path/to/services.py"], "env": { "PCO_APPLICATION_ID": "PCO_CLIENT_ID", "PCO_SECRET_KEY": "PCO_CLIENT_SECRET_KEY" } } }