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Pushbullet MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Api Status, List Channel Subscriptions, List Connected Devices, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pushbullet as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Pushbullet app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Pushbullet. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Pushbullet?"
    )
    print(response)

asyncio.run(main())
Pushbullet
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Pushbullet MCP Server

Connect your Pushbullet account to any AI agent and take full control of your cross-device notification and file orchestration through natural conversation. Pushbullet provides a powerful platform for bridging the gap between your phone, tablet, and computer, and this integration allows you to send notes, links, and ephemeral messages directly from your chat interface.

LlamaIndex agents combine Pushbullet tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Push & Notification Orchestration — Send instant notes, links, and addresses to individual devices or your entire network programmatically.
  • Device Lifecycle Management — List all associated devices and retrieve detailed metadata, including creating new device profiles directly from the AI interface.
  • Contact & Subscription Control — Access and monitor your Pushbullet contacts and channel subscriptions via natural language to keep your communications synchronized.
  • Ephemeral Messaging Intelligence — Send real-time ephemeral messages for clipboard syncing and SMS bridging using simple AI commands.
  • Operational Monitoring — Track push history and manage system metadata to ensure your notification workflows are always optimized.

The Pushbullet MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Pushbullet tools available for LlamaIndex

When LlamaIndex connects to Pushbullet through Vinkius, your AI agent gets direct access to every tool listed below — spanning cross-device-sync, notifications, file-transfer, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_api_status

Check connection

list_channel_subscriptions

Get channel feeds

list_connected_devices

List your hardware

list_push_contacts

List friends

list_recent_pushes

Get push history

register_new_device

g. a script) to receive pushes. Add a target device

remove_device

Delete a device

remove_push_record

Delete a push

send_push_notification

Send data to devices

subscribe_to_channel

Follow a channel

test_pushbullet_auth

Verify credentials

unsubscribe_from_channel

Unfollow a channel

Connect Pushbullet to LlamaIndex via MCP

Follow these steps to wire Pushbullet into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Pushbullet

Why Use LlamaIndex with the Pushbullet MCP Server

LlamaIndex provides unique advantages when paired with Pushbullet through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Pushbullet tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Pushbullet tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Pushbullet, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Pushbullet tools were called, what data was returned, and how it influenced the final answer

Pushbullet + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Pushbullet MCP Server delivers measurable value.

01

Hybrid search: combine Pushbullet real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Pushbullet to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Pushbullet for fresh data

04

Analytical workflows: chain Pushbullet queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Pushbullet in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Pushbullet immediately.

01

"Push this link to my phone: https://vinkius.com"

02

"Send a push notification to all my devices with a reminder about the team meeting at 3 PM."

03

"Share this URL across all my devices and send a copy to my colleague james@meridian.io."

Troubleshooting Pushbullet MCP Server with LlamaIndex

Common issues when connecting Pushbullet to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pushbullet + LlamaIndex FAQ

Common questions about integrating Pushbullet MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Pushbullet tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.