How to integrate Bidsketch MCP with Autogen

This guide walks you through connecting Bidsketch to AutoGen using the Composio tool router. By the end, you'll have a working Bidsketch agent that can add a new client for acme corp, list all proposals for client id 1234, delete the proposal with id 5678 through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Bidsketch account through Composio's Bidsketch MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Bidsketch logoBidsketch
Api Key

Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.

38 Tools

Introduction

This guide walks you through connecting Bidsketch to AutoGen using the Composio tool router. By the end, you'll have a working Bidsketch agent that can add a new client for acme corp, list all proposals for client id 1234, delete the proposal with id 5678 through natural language commands.

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

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

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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 Bidsketch
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Bidsketch tools
  • Run a live chat loop where you ask the agent to perform Bidsketch 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 Bidsketch MCP server, and what's possible with it?

The Bidsketch MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bidsketch account. It provides structured and secure access to your proposals and client data, so your agent can perform actions like creating clients, managing proposals, organizing sections, and handling fees on your behalf.

  • Client creation and management: Easily have your agent add new clients to Bidsketch or retrieve detailed client information by ID.
  • Proposal organization and cleanup: Direct your agent to list, delete, or manage proposals for specific clients, streamlining your workflow and keeping things tidy.
  • Section and fee management: Let your agent add or remove proposal sections and fees, ensuring each proposal is perfectly structured before sending.
  • Webhook and automation controls: Remove webhooks or automate repetitive admin tasks to keep your Bidsketch account running smoothly with minimal manual effort.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Bidsketch account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

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 Bidsketch via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

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 Bidsketch connections to use
5

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 Bidsketch session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["bidsketch"]
    )
    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 Bidsketch tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

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
7

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 Bidsketch assistant agent with MCP tools
    agent = AssistantAgent(
        name="bidsketch_assistant",
        description="An AI assistant that helps with Bidsketch 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 Bidsketch tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Bidsketch 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 Bidsketch 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 Bidsketch 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 Bidsketch session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["bidsketch"]
    )
    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 Bidsketch assistant agent with MCP tools
        agent = AssistantAgent(
            name="bidsketch_assistant",
            description="An AI assistant that helps with Bidsketch 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 Bidsketch 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 Bidsketch 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 Bidsketch, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create Client

Tool to create a client.

Create Proposal

Tool to create a new proposal.

Delete Client

Tool to delete a client and all their proposals.

Delete Fee

Tool to delete a fee.

Delete Proposal

Tool to delete a proposal and all its content.

Delete Proposal Fee

Tool to delete a proposal fee.

Delete Proposal Section

Tool to delete a proposal section.

Delete Section

Tool to delete a section.

Delete Webhook

Permanently delete a webhook subscription by ID.

Get Client

Tool to get a client by ID.

Get Client Proposals

Tool to list proposals for a specific client.

Get Clients

Tool to retrieve all clients.

Get Fee

Tool to get a single fee.

Get Fees

Tool to list all the fees for the account.

Get Proposal

Tool to get a proposal by ID.

Get Proposal Content

Tool to get a proposal with all its content (sections and fees).

Get Proposal Fee

Tool to get a single fee item for a proposal.

Get Proposal Fees

Tool to list all fees for a proposal.

Get Proposals

Tool to retrieve all proposals for the account.

Get Proposal Section

Tool to fetch a single proposal section.

Get Proposal Sections

Tool to get all sections for a proposal.

Get Proposal Stats

Get proposal statistics for your Bidsketch account.

Get Section

Tool to fetch a section by ID.

Get Sections

Retrieves all reusable proposal sections saved to your Bidsketch account.

Get Templates

Retrieves all proposal templates saved in the account.

List Proposal Closing Sections

Tool to get a collection of closing sections for a proposal.

List Proposal Opening Sections

Tool to get a collection of opening sections for a proposal.

Create Fee

Tool to create a fee.

Create Proposal Fee

Tool to create a proposal fee.

Create Proposal Section

Tool to create a proposal section.

Create Section

Tool to create a section.

Create Webhook

Create a webhook subscription in Bidsketch to receive real-time notifications when specific events occur.

Update Client

Tool to update a client.

Update Fee

Tool to update a fee.

Update Proposal

Tool to update a specific proposal's details.

Update Proposal Fee

Tool to update a proposal fee.

Update Proposal Section

Tool to update a proposal section.

Update Section

Tool to update a section.

FAQ

Frequently asked questions

With a standalone Bidsketch MCP server, the agents and LLMs can only access a fixed set of Bidsketch tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Bidsketch 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 Bidsketch tools.

Yes, absolutely. You can configure which Bidsketch 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 Bidsketch data and credentials are handled as safely as possible.

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