How to integrate Workable MCP with Autogen

This guide walks you through connecting Workable to AutoGen using the Composio tool router. By the end, you'll have a working Workable agent that can list all candidates for open roles, show scheduled interviews for this week, fetch all current job postings through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Workable account through Composio's Workable MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Workable

Oauth2Api Key

Workable is an all-in-one HR software platform that streamlines hiring, employee management, and payroll. It helps teams simplify recruiting, onboarding, and staff operations in one place.

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Introduction

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

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

Also integrate Workable with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Workable
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Workable tools
Run a live chat loop where you ask the agent to perform Workable operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

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

The Workable MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Workable account. It provides structured and secure access to your hiring and HR data, so your agent can perform actions like listing jobs, managing candidates, retrieving background check info, and organizing departments on your behalf.

Comprehensive candidate management: Instantly retrieve and aggregate candidate data across all jobs, making it easy for your agent to analyze talent pipelines, track applicants, and surface top candidates.
Job and account insights: Let your agent list all open roles, access job details, and pull account-wide information to keep your hiring team up-to-date and organized.
Automated event and interview scheduling: Fetch all scheduled events, interviews, and meetings so your agent can help coordinate calendars and ensure everyone’s on the same page.
Background check integration: Retrieve available background check providers and packages, enabling your agent to streamline compliance and onboarding workflows.
Team and department organization: List or delete departments, fetch member rosters, and manage legal entities—helping your agent automate org chart updates and keep your HR records tidy.

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:

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

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Workable account you can connect to Composio
Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Workable via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Workable connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Workable session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["workable"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Workable tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Workable assistant agent with MCP tools
    agent = AssistantAgent(
        name="workable_assistant",
        description="An AI assistant that helps with Workable operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Workable tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Workable related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Workable tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Workable and AutoGen:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Workable session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["workable"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Workable assistant agent with MCP tools
        agent = AssistantAgent(
            name="workable_assistant",
            description="An AI assistant that helps with Workable operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Workable related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Workable through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Workable, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

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

Create Employee

Tool to create an employee in your Workable account.

Delete Department

Tool to delete a department.

Delete Subscription

Tool to unsubscribe from an event by deleting a webhook subscription.

Get Account

Tool to return the specified account.

Get Accounts

Retrieves all Workable accounts (organizations) accessible to the authenticated user.

Get Background Check Packages

Tool to retrieve a list of available background check packages from a specified provider.

Get Background Check Providers

Retrieves a list of background check providers integrated with your Workable account.

Get Candidates

Retrieve a list of candidates across all jobs in the organization.

Get Employee

Tool to retrieve detailed information for a specific employee by ID.

Get Events

Retrieve a collection of scheduled events (calls, interviews, meetings) from the Workable account.

Get Jobs

Retrieves a paginated list of jobs from your Workable account.

Get Legal Entities

Tool to retrieve a collection of your account legal entities.

Get Members

Retrieve a paginated list of Workable account members with their roles and permissions.

Get recruiters

Retrieves external recruiters from your Workable account.

Get Requisitions

Tool to retrieve a collection of requisitions in the account.

Get Stages

Tool to retrieve a collection of your recruitment pipeline stages.

Get Subscriptions

Retrieves all webhook subscriptions configured in your Workable account.

List Custom Attributes

Tool to retrieve all custom attributes configured in the Workable account.

List Departments

Tool to retrieve all departments from your Workable account.

List Disqualification Reasons

Tool to retrieve a collection of account's disqualification reasons.

List Employee Fields

Tool to retrieve a collection of your account's employee field definitions.

List Employees

Tool to retrieve a collection of account employees.

List Permission Sets

Tool to retrieve a collection of your account permission sets.

List Public Jobs

Tool to return a collection of public jobs for an account.

List Public Locations

Tool to retrieve a collection of locations where a Workable account has public job postings.

List Time Off Balances

Retrieves all time off balances for an employee across all time off categories.

List Time Off Categories

Tool to retrieve all time off categories configured for your account.

List Work Schedules

Tool to retrieve a collection of work schedules configured in your Workable account.

Update Background Check Status

Updates the status and results of an existing background check in a candidate's timeline.

Merge Department

Tool to merge a department into another.

Create Department

Tool to create a department in your account.

Enable Member

Enable (restore) a deactivated Workable account member to active status.

Invite Member

Tool to invite a member to your Workable account.

Update Department

Tool to update an existing department in your account.

Update Member

Updates a Workable account member's details including roles, name, headline, email, and collaboration rules.

Update Employee

Tool to update an existing employee in Workable.

Upload Employee Documents

Tool to upload a list of documents for a specific employee.

FRAMEWORKS

How to build Workable MCP Agent with another framework

OpenAI Agents SDK

Use Workable MCP with OpenAI Agents SDK

Claude Agent SDK

Use Workable MCP with Claude Agent SDK

Claude Code

Use Workable MCP with Claude Code

Claude Cowork

Use Workable MCP with Claude Cowork

Codex

Use Workable MCP with Codex

OpenClaw

Use Workable MCP with OpenClaw

Hermes

Use Workable MCP with Hermes

CLI

Use Workable MCP with CLI

Google ADK

Use Workable MCP with Google ADK

LangChain

Use Workable MCP with LangChain

Vercel AI SDK

Use Workable MCP with Vercel AI SDK

Mastra AI

Use Workable MCP with Mastra AI

LlamaIndex

Use Workable MCP with LlamaIndex

CrewAI

Use Workable MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Ashby

Api Key

Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics.

Async interview

Api Key

Async interview is an on-demand video interview platform for streamlined hiring. Candidates record responses on their schedule, so employers can review anytime.

Bamboohr

Oauth2Api Key

BambooHR is a cloud-based HR management platform for small and mid-sized businesses. It streamlines employee data, HR workflows, and reporting in one easy interface.

Breathe HR

Api Key

Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.

FAQ

Frequently asked questions

With a standalone Workable MCP server, the agents and LLMs can only access a fixed set of Workable tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Workable and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Workable tools.

Yes, absolutely. You can configure which Workable scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Workable data and credentials are handled as safely as possible.

Start with Workable.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Workable tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Workable MCP with Autogen

Connect Workable without auth hassles

Introduction

Also integrate Workable with

TL;DR

What is AutoGen?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Workable MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Ashby

Async interview

Bamboohr

Breathe HR

Frequently asked questions

What are the differences in Tool Router MCP and Workable MCP?+

Can I use Tool Router MCP with Autogen?+

Can I manage the permissions and scopes for Workable while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Workable.It takes 30 seconds.

Teams ship real agents on Composio