Bring Real Time
to LangChain
Learn how to connect Pusher Channels to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Provide your Pusher App ID, Key, Secret, and Cluster
- Start broadcasting events and managing connections from Claude, Cursor, or any MCP client
No more jumping into the Pusher Debug Console to manually trigger test events or check if a channel is active. Your AI acts as a real-time infrastructure operator.
Who is this for?
- Full-stack Developers — trigger test events and verify webhook payloads directly from the code editor.
- DevOps Engineers — monitor channel activity and user counts without opening the Pusher dashboard.
- Support Teams — quickly identify if a user is connected to a presence channel or terminate problematic sessions.
Built-in capabilities (6)
Fetch information for a specific channel
Fetch users in a presence channel
Fetch multiple channels
Terminate all connections for a user
Trigger multiple events in a single batch
Max 10KB data payload. Trigger an event on one or more channels
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Pusher Channels MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Pusher Channels queries for multi-turn workflows
Pusher Channels in LangChain
Pusher Channels and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Pusher Channels to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Pusher Channels in LangChain
The Pusher Channels 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Pusher Channels for LangChain
Every tool call from LangChain to the Pusher Channels MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I send the same event to multiple channels at once?
Yes. The trigger_event tool accepts an array of channel names (up to 100) to broadcast your message simultaneously across your infrastructure.
How do I check which users are currently online in a presence channel?
Use the list_channel_users tool with the specific channel name (must start with presence-). It will return a list of all active user IDs.
Is it possible to force a user to disconnect?
Yes. The terminate_user_connections tool allows you to close all active WebSocket connections for a specific user ID immediately.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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