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

Name: Pusher Channels
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Pusher Channels through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Pusher Channels MCP Server for LangChain 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "pusher-channels": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Pusher Channels, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Pusher Channels through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

Follow these steps to wire Pusher Channels into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 6 tools from Pusher Channels via MCP

Why Use LangChain with the Pusher Channels MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Pusher Channels MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Pusher Channels queries for multi-turn workflows

Pusher Channels + LangChain Use Cases

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

RAG with live data: combine Pusher Channels tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Pusher Channels, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Pusher Channels tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Pusher Channels tool call, measure latency, and optimize your agent's performance

Example Prompts for Pusher Channels in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Pusher Channels + LangChain FAQ

Common questions about integrating Pusher Channels MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.