# How to integrate Softr MCP with Autogen

```json
{
  "title": "How to integrate Softr MCP with Autogen",
  "toolkit": "Softr",
  "toolkit_slug": "softr",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/softr/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/softr/framework/autogen.md",
  "updated_at": "2026-03-29T06:51:11.068Z"
}
```

## Introduction

This guide walks you through connecting Softr to AutoGen using the Composio tool router. By the end, you'll have a working Softr agent that can list all users in your softr app, add a new record to products table, update user status to 'active' in softr through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Softr account through Composio's Softr MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Softr with

- [OpenAI Agents SDK](https://composio.dev/toolkits/softr/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/softr/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/softr/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/softr/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/softr/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/softr/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/softr/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/softr/framework/cli)
- [Google ADK](https://composio.dev/toolkits/softr/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/softr/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/softr/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/softr/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/softr/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/softr/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 Softr
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Softr tools
- Run a live chat loop where you ask the agent to perform Softr 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 Softr MCP server, and what's possible with it?

The Softr MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Softr account. It provides structured and secure access so your agent can perform Softr operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SOFTR_CREATE_DATABASE` | Create Database | Tool to create a new database in a Softr workspace. Use when you need to set up a new database for storing data within a specific Softr workspace. |
| `SOFTR_CREATE_RECORD` | Create Record | Creates a new record in a Softr database table. Use when you need to add new data to a specific table in your Softr database. |
| `SOFTR_CREATE_TABLE` | Create Table | Tool to create a new table within a specified Softr database. Use when you need to add a new data structure with custom fields to organize information. |
| `SOFTR_CREATE_TABLE_FIELD` | Create Table Field | Tool to add a new field to a Softr table. Use when you need to add a new column to an existing table, such as adding an email field, a text field, or any other field type to store additional data. |
| `SOFTR_DELETE_DATABASE` | Delete database | Tool to delete a specific database by its ID from Softr. Use when you need to remove a database. The database must be empty unless the 'force' parameter is set to true. This operation is irreversible. |
| `SOFTR_DELETE_RECORD` | Delete Record | Tool to delete a record from a Softr database table. Use when you need to permanently remove a specific record. |
| `SOFTR_DELETE_TABLE` | Delete Table | Tool to delete a specific table by its ID from a database. Use when you need to remove a table. The table must be empty unless the force parameter is set to true. |
| `SOFTR_DELETE_TABLE_FIELD` | Delete Table Field | Tool to delete a field from a Softr database table. Use when you need to remove a field from a table. Returns success confirmation upon completion. |
| `SOFTR_GET_DATABASE` | Get Database | Tool to retrieve details for a specific database by ID. Use when you need to fetch information about a particular database in Softr. |
| `SOFTR_GET_DATABASES` | Get Databases | Tool to retrieve all databases available in the workspace. Use when you need to list or discover available databases for further operations. |
| `SOFTR_GET_RECORD` | Get Record | Tool to retrieve a single record by its ID from a Softr database table. Use when you need to fetch detailed information about a specific record. |
| `SOFTR_GET_RECORDS_FROM_TABLE` | Get records from table | Tool to retrieve a paginated list of records from a Softr table. Use when you need to fetch records from a specific table with optional pagination parameters. |
| `SOFTR_GET_TABLE` | Get Table | Tool to retrieve details for a specific table by ID. Use when you need to inspect table structure, fields, or metadata. |
| `SOFTR_GET_TABLE_FIELD` | Get Table Field | Tool to retrieve a specific field from a Softr table by field ID. Use when you need detailed configuration information about a table field, including its type, options, and metadata. |
| `SOFTR_GET_TABLE_FIELDS` | Get Table Fields | Tool to retrieve all fields for a specific table in a Softr database. Returns comprehensive field information including id, name, type, options, and metadata. Use when you need to inspect or work with table structure. |
| `SOFTR_GET_TABLES` | Get Tables | Retrieves all tables within a specified Softr database. Use when you need to list or explore the tables available in a database. |
| `SOFTR_GET_TABLE_VIEWS` | Get Table Views | Tool to retrieve all views for a specified table in a Softr database. Use when you need to list or inspect available views for a table. |
| `SOFTR_SEARCH_RECORDS` | Search Records | Tool to search records in a Softr database table with filtering and pagination. Use when you need to retrieve records from a specific table, optionally filtered by field values and paginated for large result sets. |
| `SOFTR_UPDATE_DATABASE` | Update Database | Tool to update an existing database's name and/or description. Use when you need to modify database metadata after creation. |
| `SOFTR_UPDATE_A_RECORD` | Update a record | Tool to update an existing record's field values in a Softr table. Use when you need to modify specific fields of a record by providing the database ID, table ID, record ID, and the new field values. |
| `SOFTR_UPDATE_TABLE` | Update Table | Tool to update a table's name and/or description in Softr Database. Use when you need to modify table metadata. To modify fields, use the field-specific endpoints instead. |
| `SOFTR_UPDATE_TABLE_FIELD` | Update table field | Updates an existing field in a Softr table. Use when you need to modify a field's name, type, or configuration options. Note: The API requires both 'type' and 'options' fields even if only updating the name. |

## Supported Triggers

None listed.

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

The Softr MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Softr. Instead of manually wiring Softr 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 Softr 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 Softr 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 Softr 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 Softr 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 Softr session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["softr"]
    )
    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 Softr 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 Softr assistant agent with MCP tools
    agent = AssistantAgent(
        name="softr_assistant",
        description="An AI assistant that helps with Softr 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 Softr 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 Softr 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 Softr session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["softr"]
    )
    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 Softr assistant agent with MCP tools
        agent = AssistantAgent(
            name="softr_assistant",
            description="An AI assistant that helps with Softr 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 Softr 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 Softr 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 Softr, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Softr MCP Agent with another framework

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

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - 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.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

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

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

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

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

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