Timelinesai Integration for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Timelinesai MCP or direct API to send WhatsApp messages, sync conversations with CRMs, automate replies, and extract communication insights through natural language.
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Supported Tools and Triggers

Tools
Triggers
Delete FileTool to delete an uploaded file by its uid.
Delete WebhookTool to delete a webhook subscription by its id.
Get Chat MessagesTool to get messages from a specific chat in timelinesai.
Get ChatsTool to get full or filtered list of all chats.
Get File DetailsTool to retrieve metadata and temporary download url for an uploaded file.
Get WebhookTool to retrieve details of a specific webhook subscription.
Get WebhooksTool to list all webhook subscriptions for the workspace.
Get WhatsApp AccountsTool to list all whatsapp accounts connected to the workspace.
List Uploaded FilesTool to list files uploaded in your timelinesai workspace.
Create Webhook SubscriptionTool to create a new webhook subscription.
Update WebhookTool to update an existing webhook subscription.
Send MessageTool to send a message through timelinesai whatsapp integration.

Why Use Composio?

AI Native Timelinesai Integration

  • Supports both Timelinesai MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Timelinesai data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Timelinesai access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

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

Connect Timelinesai MCP Tool with your Agent

Python
TypeScript

Install Composio

python
pip install composio claude-agent-sdk
Install the Composio SDK and Claude Agent SDK

Create Tool Router Session

python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
Initialize the Composio client and create a Tool Router session

Connect to AI Agent

python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Timelinesai tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Get the last 20 messages from chat \"chat 123abc\" in TimelinesAI')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
Use the MCP server with your AI agent

Connect Timelinesai API Tool with your Agent

Python
TypeScript

Install Composio

python
pip install composio_openai
Install the Composio SDK

Initialize Composio and Create Tool Router Session

python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
Import and initialize Composio client, then create a Tool Router session

Execute Timelinesai Tools via Tool Router with Your Agent

python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List all unread WhatsApp chats assigned to me.'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
Get tools from Tool Router session and execute Timelinesai actions with your Agent

Use Timelinesai with any AI Agent Framework

Choose a Framework you want to connect Timelinesai with

OpenAI Agents SDK

OpenAI Agents SDK

Use Timelinesai MCP with OpenAI Agents SDK

Claude Agents SDK

Claude Agents SDK

Use Timelinesai MCP with Claude Agents SDK

Google ADK

Google ADK

Use Timelinesai MCP with Google ADK

Langchain

Langchain

Use Timelinesai MCP with Langchain

AI SDK

AI SDK

Use Timelinesai MCP with AI SDK

Mastra AI

Mastra AI

Use Timelinesai MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Timelinesai MCP with LlamaIndex

CrewAI

CrewAI

Use Timelinesai MCP with CrewAI

Pydantic AI

Pydantic AI

Use Timelinesai MCP with Pydantic AI

Autogen

Autogen

Use Timelinesai MCP with Autogen

Frequently Asked Questions

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

Yes, Timelinesai requires you to configure your own API key credentials. 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.

Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

What if the API changes?

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

Used by agents from

Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

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