Planning Center Online API and MCP Server Integration

@jake-ccnh

代码仓库

基本信息

分类

推理

许可证

MIT license

传输方式

stdio

作者

jake-ccnh

关于 Planning Center Online API and MCP Server Integration

Planning Center Online MCP Server

#pco-mcp#api-integration #llm-query

Planning Center Online API and MCP Server Integration 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "pco-mcp": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

Planning Center Online API and MCP Server Integration 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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