Planning Center Online API and MCP Server Integration

@jake-ccnh

About Planning Center Online API and MCP Server Integration

Planning Center Online MCP Server

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

Basic information

More Reasoning MCP servers

Deno Sandbox MCP Server

bewt85

An MCP server that allows you to run TypeScript, JavaScript, and Python code in a sandbox on your local machine using the Deno® sandbox. This server provides a controlled environment for executing code with explicit permission controls.

Agentic Tools MCP Server

Pimzino

A comprehensive Model Context Protocol (MCP) server providing AI assistants with powerful task management and agent memories capabilities with project-specific storage.

Proplan Mcp

King-Proplan

MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off

Task Planner MCP Server

CaptainCrouton89

An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.

iFlytek Workflow MCP Server

iflytek

This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.