# ApptiveGrid

```json
{
  "name": "ApptiveGrid",
  "slug": "apptivegrid",
  "url": "https://composio.dev/toolkits/apptivegrid",
  "markdown_url": "https://composio.dev/toolkits/apptivegrid.md",
  "logo_url": "https://logos.composio.dev/api/apptivegrid",
  "categories": [
    "productivity & project management"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T14:51:01.297Z"
}
```

![ApptiveGrid logo](https://logos.composio.dev/api/apptivegrid)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with ApptiveGrid MCP or direct API to list spaces, query grids, create records, and manage form-driven workflows through natural language.

## Summary

ApptiveGrid is a collaborative no-code database and app platform for spaces, grids, forms, and structured records.
It helps teams organize operational data, collect inputs, and build lightweight business apps without custom backend work.

## Categories

- productivity & project management

## Toolkit Details

- Tools: 7

## Images

- Logo: https://logos.composio.dev/api/apptivegrid

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for ApptiveGrid.
  - Setup:
    - Configure Api Key credentials for ApptiveGrid.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- List overdue records in Tasks grid
- Create form entry for customer feedback
- Summarize records from Sales Pipeline grid

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `APPTIVEGRID_CREATE_RECORD` | Create Record | Create one record in a grid from a provider-native object keyed by that grid's field IDs or field keys; inspect the grid first to construct valid values. |
| `APPTIVEGRID_GET_CURRENT_USER` | Get Current User | Return the connected ApptiveGrid user's ID, plan, seat availability, and resource links; use it to identify the user before listing spaces. |
| `APPTIVEGRID_GET_GRID` | Get Grid | Return a grid's metadata and dynamic field definitions; use it before listing, reading, or creating records. |
| `APPTIVEGRID_GET_RECORD` | Get Record | Return one record from a grid by record ID, optionally rendered with a provider layout. |
| `APPTIVEGRID_GET_SPACE` | Get Space | Return a space and its grid summaries or grid links; use it to discover grid IDs before reading records. |
| `APPTIVEGRID_LIST_RECORDS` | List Records | Return one 1-based page of records from a grid, optionally using the provider's layout, filter, and sorting definitions. |
| `APPTIVEGRID_LIST_SPACES` | List Spaces | Return one 1-based page of spaces available to a user, including IDs needed to inspect a space. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to ApptiveGrid
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["apptivegrid"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["apptivegrid"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run ApptiveGrid tools with your agent

Send a request, execute the ApptiveGrid tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "List all records in the Customer Feedback grid in ApptiveGrid"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List all records in the Customer Feedback grid in ApptiveGrid" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to ApptiveGrid and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["apptivegrid"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["apptivegrid"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a ApptiveGrid request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to ApptiveGrid tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("List all records in the Customer Feedback grid in ApptiveGrid")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List all records in the Customer Feedback grid in ApptiveGrid",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native ApptiveGrid Integration

- Supports both ApptiveGrid MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your ApptiveGrid spaces, grids, forms, and records

### 2. Managed Auth

- Secure API key handling so agents don't need hard-coded ApptiveGrid credentials
- Central place to manage, scope, and revoke ApptiveGrid access
- Per user and per environment credentials for safer production workflows

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Clear schemas help agents work with ApptiveGrid records, grid fields, and structured data correctly
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access ApptiveGrid
- Scoped, least privilege access to ApptiveGrid resources
- Full audit trail of agent actions to support review and compliance

## Use ApptiveGrid with any AI Agent Framework

Choose a framework you want to connect ApptiveGrid with:

- [ChatGPT](https://composio.dev/toolkits/apptivegrid/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/apptivegrid/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/apptivegrid/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/apptivegrid/framework/atomic-agent)

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## Frequently Asked Questions

### Do I need my own developer credentials to use ApptiveGrid with Composio?

Yes, ApptiveGrid requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)