# How to integrate Signaturely MCP with Autogen

```json
{
  "title": "How to integrate Signaturely MCP with Autogen",
  "toolkit": "Signaturely",
  "toolkit_slug": "signaturely",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/signaturely/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/signaturely/framework/autogen.md",
  "updated_at": "2026-05-12T10:26:10.094Z"
}
```

## Introduction

This guide walks you through connecting Signaturely to AutoGen using the Composio tool router. By the end, you'll have a working Signaturely agent that can show all documents i sent for signature, list templates for non-disclosure agreements, find signed contracts from last month through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Signaturely account through Composio's Signaturely MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Signaturely with

- [OpenAI Agents SDK](https://composio.dev/toolkits/signaturely/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/signaturely/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/signaturely/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/signaturely/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/signaturely/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/signaturely/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/signaturely/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/signaturely/framework/cli)
- [Google ADK](https://composio.dev/toolkits/signaturely/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/signaturely/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/signaturely/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/signaturely/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/signaturely/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/signaturely/framework/crew-ai)

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

The Signaturely MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Signaturely account. It provides structured and secure access to your Signaturely workspace, so your agent can perform actions like listing documents, retrieving templates, managing agreements, and streamlining your signature workflows on your behalf.
- Comprehensive document retrieval: Quickly list and view all documents in your Signaturely account, making it easy to track agreements, contracts, and signed files.
- Template management: Let your agent fetch and organize reusable document templates, streamlining the process of preparing new signature requests.
- Automated document discovery: Effortlessly filter and search for specific documents based on status, type, or other criteria, so you always find what you need.
- Workflow optimization: Use AI to surface relevant templates or documents for various business scenarios, helping you automate signature processes and reduce manual work.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SIGNATURELY_CREATE_FOLDER` | Create Folder | Tool to create a new folder for organizing documents. Use when you need to create a folder structure for document management. |
| `SIGNATURELY_GET_CURRENT_USER` | Get Current User | Tool to get the current authenticated user information. Use this to retrieve account details including email, name, role, status, and avatar URL. |
| `SIGNATURELY_GET_FOLDER` | Get Folder | Tool to get folder information by ID. Use when you need to retrieve details about a specific folder including its subfolders and documents count. |
| `SIGNATURELY_GET_RECENT_DOCUMENT` | Get Recent Document | Tool to retrieve the most recent sent or completed document. Use when you need to fetch the latest document of a specific type (sent or completed). |
| `SIGNATURELY_LIST_DOCUMENTS` | List Documents | Tool to list all documents. Use after authenticating to retrieve documents with optional filters and pagination. |
| `SIGNATURELY_LIST_FOLDERS` | List Folders | Tool to get list of folders for documents. Use to retrieve all folders for organizing documents. |
| `SIGNATURELY_LIST_TEAM_MEMBERS` | List Team Members | Tool to list all team members in the Signaturely account. Returns team users with their account types and roles (Owner, Admin, User). |
| `SIGNATURELY_RENAME_FOLDER` | Rename Folder | Tool to rename a folder via API call. Use when you need to update the title of an existing folder. |
| `SIGNATURELY_SEARCH_TEMPLATES_DOCUMENTS` | Search Templates or Documents | Tool to search for templates or documents by matching text. Use when you need to find specific templates or documents by name or text content. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Signaturely MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Signaturely. Instead of manually wiring Signaturely APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Signaturely account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Signaturely via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

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 Signaturely connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Signaturely tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```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 Signaturely session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["signaturely"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

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
```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")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Signaturely tools from the workbench
```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 Signaturely assistant agent with MCP tools
    agent = AssistantAgent(
        name="signaturely_assistant",
        description="An AI assistant that helps with Signaturely operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Signaturely 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
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Signaturely 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")
```

## Complete Code

```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 Signaturely session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["signaturely"]
    )
    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 Signaturely assistant agent with MCP tools
        agent = AssistantAgent(
            name="signaturely_assistant",
            description="An AI assistant that helps with Signaturely 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 Signaturely 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 Signaturely 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 Signaturely, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Signaturely MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/signaturely/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/signaturely/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/signaturely/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/signaturely/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/signaturely/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/signaturely/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/signaturely/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/signaturely/framework/cli)
- [Google ADK](https://composio.dev/toolkits/signaturely/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/signaturely/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/signaturely/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/signaturely/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/signaturely/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/signaturely/framework/crew-ai)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses.
- [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files.
- [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently.
- [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price.
- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
- [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work.
- [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems.
- [Contentful graphql](https://composio.dev/toolkits/contentful_graphql) - Contentful graphql is a content delivery API that lets you access Contentful data using GraphQL queries. It gives you efficient, flexible ways to fetch and manage structured content for any digital project.
- [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks.
- [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API.
- [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Signaturely MCP?

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

### Can I use Tool Router MCP with Autogen?

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 Signaturely tools.

### Can I manage the permissions and scopes for Signaturely while using Tool Router?

Yes, absolutely. You can configure which Signaturely 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.

### How safe is my data with Composio Tool Router?

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 Signaturely data and credentials are handled as safely as possible.

---
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