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How to integrate Chmeetings MCP with Mastra AI

Connect Mastra AI to Chmeetings MCP. List upcoming church events this month, add new member to youth group, and more using natural language, with authentication handled for you.

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Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

28 Tools

Introduction

This guide walks you through connecting Chmeetings to Mastra AI using the Composio tool router. By the end, you'll have a working Chmeetings agent that can create and update meetings, invite attendees, manage people and organizations, set reminders, and send notifications through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Chmeetings account through Composio's Chmeetings MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Chmeetings with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKGrok BotCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAIPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Chmeetings tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Chmeetings tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Chmeetings agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Chmeetings MCP server, and what's possible with it?

The Chmeetings MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Chmeetings account. It provides structured and secure access to your church management system, so your agent can help you manage events, engage members, track donations, coordinate volunteers, and oversee groups on your behalf.

  • Event planning and scheduling: Empower your agent to create, update, and manage church events, including setting dates, venues, and attendee lists.
  • Member engagement and communication: Let your agent access member directories, send announcements, and track participation to boost overall community involvement.
  • Donation management and reporting: Easily have your agent track contributions, generate donation reports, and assist with financial record-keeping.
  • Volunteer coordination: Allow your agent to organize volunteer opportunities, assign roles, and monitor participation for various church activities.
  • Group and ministry oversight: Ask your agent to manage groups or ministries, enroll members, and keep information up-to-date for effective administration.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Chmeetings through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Chmeetings

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["chmeetings"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Chmeetings MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "chmeetings" for Chmeetings access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Chmeetings toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "chmeetings-mastra-agent",
    instructions: "You are an AI agent with Chmeetings tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        chmeetings: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Chmeetings toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Chmeetings and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["chmeetings"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      chmeetings: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "chmeetings-mastra-agent",
    instructions: "You are an AI agent with Chmeetings tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { chmeetings: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Chmeetings through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every Chmeetings action and event your agent gets out of the box.

Invite Meeting Attendee

Tool to invite a new attendee to a specified meeting.

Get Attendee Details

Retrieve an attendee's details by attendee ID.

ChMeetings: Create Meeting

Tool to create a new meeting in ChMeetings.

ChMeetings: Create Organization

Tool to create a new organization.

ChMeetings: Create Reminder

Tool to create/schedule a reminder for a meeting in ChMeetings.

Delete Meeting Attendee

Tool to remove an attendee from a meeting.

List Meeting Attendees

List attendees for a specific meeting, with optional pagination.

ChMeetings: Delete Meeting

Tool to delete an existing meeting.

ChMeetings: Get Meeting

Retrieve a meeting's details by ID.

ChMeetings: Update Meeting

Tool to update meeting details.

ChMeetings: Send Notification

Tool to attempt sending a notification.

ChMeetings: Get Organization

Tool to get details of a specific organization.

ChMeetings: Delete Organization

Tool to delete an existing organization.

ChMeetings: List Organizations

List organizations, optionally filtering by search term and specifying pagination.

ChMeetings: Update Organization

Tool to update an organization's information.

ChMeetings: Delete Person

Tool to delete a person record.

ChMeetings: List People

Retrieve a list of People records from ChMeetings, with optional pagination.

ChMeetings: Update Person

Tool to update an existing person's information in ChMeetings.

ChMeetings: Create Person

Tool to create a new person record in ChMeetings People directory.

ChMeetings: Get Person

Tool to retrieve a specific person's details by ID.

ChMeetings: Delete Reminder

Tool to cancel a scheduled reminder.

ChMeetings: Get Reminder

Tool to retrieve details of a specific reminder.

ChMeetings: List Reminders

List reminder records from ChMeetings with optional pagination.

ChMeetings: Update Reminder

Tool to update an existing reminder.

ChMeetings: Get Settings

Retrieve selected lookup values for genders, social statuses, grade levels, and family roles used when creating or updating people and families.

ChMeetings: Update Settings

Tool to update account settings.

Update attendee role

Update an attendee's role by attendee ID.

ChMeetings: Get User Profile

Tool to retrieve current user's profile information.

FRAMEWORKS

How to build Chmeetings MCP Agent with another framework

Claude Code logo

Claude Code

Use Chmeetings MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Chmeetings MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Chmeetings MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Chmeetings MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Chmeetings MCP with Grok Bot

Codex logo

Codex

Use Chmeetings MCP with Codex

OpenClaw logo

OpenClaw

Use Chmeetings MCP with OpenClaw

Hermes logo

Hermes

Use Chmeetings MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Chmeetings MCP with Atomic Agent

Google ADK logo

Google ADK

Use Chmeetings MCP with Google ADK

LangChain logo

LangChain

Use Chmeetings MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Chmeetings MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Chmeetings MCP with LlamaIndex

CrewAI logo

CrewAI

Use Chmeetings MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Chmeetings MCP with Pydantic AI

AutoGen logo

AutoGen

Use Chmeetings MCP with AutoGen

FAQ

Frequently asked questions

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