How to Use the Pushbullet MCP in AutoGen
Let your AutoGen agents debate, coordinate, and push alerts across your hardware network with Pushbullet.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Pushbullet MCP to AutoGen
Create your Vinkius account to connect Pushbullet to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Key Capabilities
AutoGen Team Alerts
This MCP Server exposes the `send_push_notification` tool so your multi-agent teams can coordinate physical alerts. One agent can draft a system notification, while a second supervisor agent reviews the text for sensitive keys before running the push. They use `list_connected_devices` to negotiate which physical screen should receive the alert. This consensus-driven approach keeps raw, unvetted code outputs from spamming your phone. The agents work together to ensure only critical, formatted alerts actually make it to your hardware.
Autonomous Device Management
The `register_new_device` tool lets your AutoGen team register new terminal nodes on the fly. When a performance agent spins up a new worker container, it adds the container as a push target to coordinate background tasks. If a container dies, the security agent calls `remove_device` to revoke its access. The team monitors connection health by calling `get_api_status` and validating credentials with `test_pushbullet_auth`. This automated upkeep keeps your multi-agent MCP network synchronized without manual configuration.
Filtered Channel Subscriptions
Managing broadcast feeds is handled by the `subscribe_to_channel` and `unsubscribe_from_channel` tools. A research agent can suggest subscribing to a specific topic feed, while a budget agent analyzes the resource impact. They check current feeds using `list_channel_subscriptions` to resolve conflicts before making changes. This debate structure prevents your agents from subscribing to duplicate or noisy channels. Once they reach consensus, they run the tools to update your active feeds.
Set up Pushbullet MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Pushbullet tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Pushbullet_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Pushbullet data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Pushbullet_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Pushbullet data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pushbullet. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Pushbullet MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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