Pusher Channels MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Channel, List Channel Users, List Channels, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 channel on Pusher Channels
Fetch information for a specific channel
List channel users on Pusher Channels
Fetch users in a presence channel
List channels on Pusher Channels
Fetch multiple channels
Terminate user connections on Pusher Channels
Terminate all connections for a user
Trigger batch events on Pusher Channels
Trigger multiple events in a single batch
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.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Pusher Channels MCP Server
LlamaIndex provides unique advantages when paired with Pusher Channels through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Pusher Channels tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Pusher Channels tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Pusher Channels, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Pusher Channels real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Pusher Channels to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Pusher Channels for fresh data
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.
"Trigger a 'new-order' event on the 'orders' channel with data '{"id": 123, "total": 50.00}'."
"List all active channels that start with 'presence-'."
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpPusher Channels + LlamaIndex FAQ
Common questions about integrating Pusher Channels MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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