# How to integrate Bitwarden MCP with Autogen

```json
{
  "title": "How to integrate Bitwarden MCP with Autogen",
  "toolkit": "Bitwarden",
  "toolkit_slug": "bitwarden",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/bitwarden/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/bitwarden/framework/autogen.md",
  "updated_at": "2026-05-12T10:03:13.659Z"
}
```

## Introduction

This guide walks you through connecting Bitwarden to AutoGen using the Composio tool router. By the end, you'll have a working Bitwarden agent that can retrieve login details for salesforce account, list all shared vault items this week, generate a new secure password for dropbox through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Bitwarden account through Composio's Bitwarden MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Bitwarden with

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

The Bitwarden MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bitwarden account. It provides structured and secure access to your encrypted vault, so your agent can perform actions like retrieving credentials, managing vault items, updating passwords, generating new secure passwords, and organizing your vault for you.
- Secure credential retrieval: Instantly fetch login details, secure notes, or card information from your Bitwarden vault whenever your agent needs to access or autofill credentials.
- Password management and updates: Direct your agent to update existing passwords, change login details, or rotate credentials for improved security.
- Vault item creation and organization: Have your agent create new items—like logins, notes, or identities—and organize them into folders or collections for easy access and sharing.
- Password generation and security checks: Use the agent to generate strong, unique passwords and even check for reused or weak credentials across your vault.
- Automated sharing and access management: Let your agent securely share selected credentials with trusted users or teams, while maintaining detailed access controls.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BITWARDEN_DELETE_GROUP` | Delete Group | Tool to delete a group. Use when you need to permanently remove a group by its ID after ensuring no dependencies exist. |
| `BITWARDEN_DELETE_MEMBER` | Delete Member | Tool to delete a specific organization member. Use when you need to remove a member from the organization after verifying their member ID. |
| `BITWARDEN_GET_GROUP_MEMBER_IDS` | Get Group Member IDs | Tool to retrieve the list of member IDs for a specific Bitwarden group. Use when you need only the user IDs of all members in a group. |
| `BITWARDEN_GET_ORG_SUBSCRIPTION` | Get Organization Subscription | Tool to retrieve subscription details of the current organization. Use after obtaining a valid bearer token. |
| `BITWARDEN_IMPORT_MEMBERS_AND_GROUPS` | Import Members and Groups | Tool to bulk import members and groups in a single request. Use when migrating or seeding an organization with multiple members and groups at once. Import is all-or-nothing: a single malformed entry in `members` or `groups` causes the entire request to fail. |
| `BITWARDEN_REINVITE_MEMBER` | Reinvite Member | Tool to re-send an invitation to a pending or removed member. Use when an existing member's invite needs re-issuing. |
| `BITWARDEN_RETRIEVE_GROUP` | Retrieve Group | Tool to retrieve details for a specific group. Use when you need to fetch group permissions and assigned collections by group ID after authenticating with a valid access token. |
| `BITWARDEN_RETRIEVE_MEMBER` | Retrieve Member | Tool to retrieve details for a specific member. Use after obtaining a valid member ID to get full metadata. |
| `BITWARDEN_UPDATE_MEMBER` | Update Member | Tool to update an organization member’s admin status. Use when toggling admin privileges for an existing member. |

## Supported Triggers

None listed.

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

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

## How to build Bitwarden MCP Agent with another framework

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

## Related Toolkits

- [Borneo](https://composio.dev/toolkits/borneo) - Borneo is a data security and privacy platform for sensitive data discovery and remediation. It helps organizations mitigate risk by identifying and protecting sensitive information across their infrastructure.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [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.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [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.
- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [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.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools 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.
- [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.
- [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [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.
- [Ashby](https://composio.dev/toolkits/ashby) - Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics.
- [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up.

## Frequently Asked Questions

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

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

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

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

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