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Pusher Channels MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Channel, List Channel Users, List Channels, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pusher Channels 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 MCP Server for LlamaIndex

The Pusher Channels MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Pusher Channels. "
            "You have 6 tools available."
        ),
    )

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

asyncio.run(main())
Pusher Channels
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Pusher Channels MCP Server

Connect your Pusher Channels infrastructure to any AI agent to orchestrate real-time messaging and monitor your application's pub/sub health through natural language.

LlamaIndex agents combine Pusher Channels tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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

  • Event Broadcasting — Trigger single or batch events across multiple channels with custom JSON payloads to update your frontend instantly.
  • Channel Monitoring — List all active channels, filter by prefix, and fetch specific metadata like subscription counts or user counts.
  • Presence Management — Retrieve lists of user IDs currently subscribed to presence channels to understand real-time engagement.
  • Session Control — Terminate all active WebSocket connections for a specific user ID to handle security incidents or forced logouts.
  • State Inspection — Query the detailed state of any specific channel to debug message flow or connection metrics.

The Pusher Channels MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Pusher Channels tools available for LlamaIndex

When LlamaIndex connects to Pusher Channels through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time, websockets, pub-sub, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get channel on Pusher Channels

Fetch information for a specific channel

list

List channel users on Pusher Channels

Fetch users in a presence channel

list

List channels on Pusher Channels

Fetch multiple channels

terminate

Terminate user connections on Pusher Channels

Terminate all connections for a user

trigger

Trigger batch events on Pusher Channels

Trigger multiple events in a single batch

trigger

Trigger event on Pusher Channels

Max 10KB data payload. Trigger an event on one or more channels

Connect Pusher Channels to LlamaIndex via MCP

Follow these steps to wire Pusher Channels into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind 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 6 tools from Pusher Channels

Why Use LlamaIndex with the Pusher Channels MCP Server

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

01

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

02

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

03

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

04

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

Pusher Channels + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Pusher Channels 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 Pusher Channels for fresh data

04

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

Example Prompts for Pusher Channels in LlamaIndex

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

01

"Trigger a 'new-order' event on the 'orders' channel with data '{"id": 123, "total": 50.00}'."

02

"List all active channels that start with 'presence-'."

03

"Terminate all connections for user ID 'user_999'."

Troubleshooting Pusher Channels MCP Server with LlamaIndex

Common issues when connecting Pusher Channels to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pusher Channels + LlamaIndex FAQ

Common questions about integrating Pusher Channels 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 Pusher Channels 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.

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