LangChainFramework

PubNub (Real-time Messaging) MCP Server

Bring Real Time Sync
to LangChain

Name: PubNub (Real-time Messaging) MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect PubNub (Real-time Messaging) to LangChain and start using 31 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Admin Create AppAdmin Get MetricsAdmin List AppsAdmin List KeysetsDelete FileDelete Message HistoryGenerate File Upload UrlGet All ChannelsGet All UsersGet ChannelGet File UrlGet MembershipsGet Message CountGet Message HistoryGet UserList FilesPam Grant TokenPam Revoke TokenPresence Get StatePresence HeartbeatPresence Here NowPresence LeavePresence Set StatePresence Where NowPublish MessagePush ManagePush Remove AllRemove UserSet ChannelSet MembershipsSet User

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What is the PubNub (Real-time Messaging) MCP Server?

Connect your PubNub account to any AI agent to orchestrate real-time communication, monitor user presence, and manage data streams through natural language.

What you can do

Real-time Messaging — Publish JSON payloads to any channel and retrieve historical message logs with precise timetokens.
Presence Monitoring — Track who is online (here_now), see which channels a user is in (where_now), and manage custom presence states.
User & Channel Metadata — Manage App Context by creating and retrieving user profiles, channel metadata, and memberships.
Message Management — Count messages sent after specific timestamps or purge history for compliance and storage management.
File Sharing — Generate upload URLs and manage files stored within the PubNub network.
Admin & Push — Monitor keyset metrics, manage applications, and configure mobile push notifications (APNS/FCM).

How it works

Subscribe to this server
Enter your PubNub Subscribe Key, Publish Key, and UUID
Start streaming data and managing real-time interactions from your MCP-compatible client

Who is this for?

IoT Developers — Monitor device heartbeats and send control commands via real-time channels.
Support Teams — Inspect chat history and user presence to provide better live assistance.
System Architects — Audit channel metadata and monitor keyset metrics directly from the AI interface.

Built-in capabilities (31)

admin_create_app

Create a new PubNub app (Admin API)

admin_get_metrics

Get usage metrics (Admin API)

admin_list_apps

List all PubNub apps (Admin API)

admin_list_keysets

List all keysets (Admin API)

delete_file

Delete a file from a channel

delete_message_history

Delete message history for channels

generate_file_upload_url

Generate a file upload URL

get_all_channels

Get all channels (App Context)

get_all_users

Get all users (App Context)

get_channel

Get a specific channel (App Context)

get_file_url

Get a file URL

get_memberships

Get memberships for a user (App Context)

get_message_count

Get message count for channels

get_message_history

Get message history for channels

get_user

Get a specific user (App Context)

list_files

List files in a channel

pam_grant_token

Grant a PAM v3 token

pam_revoke_token

Revoke a PAM v3 token

presence_get_state

Get presence state for a user in a channel

presence_heartbeat

Send presence heartbeat

presence_here_now

Get current channel occupancy (Here Now)

presence_leave

Leave a channel (Presence)

presence_set_state

Set presence state for a user in a channel

presence_where_now

Get channels a user is in (Where Now)

publish_message

Publish a message to a channel

push_manage

Manage or list push notification channels for a device (APNS v2)

push_remove_all

Remove all push notification channels for a device (APNS v2)

remove_user

Remove a user (App Context)

set_channel

Set or update a channel (App Context)

set_memberships

Set or update memberships for a user (App Context)

set_user

Set or update a user (App Context)

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with PubNub (Real-time Messaging) through native MCP adapters. Connect 31 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.

—
The largest ecosystem of integrations, chains, and agents. combine PubNub (Real-time Messaging) 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 PubNub (Real-time Messaging) queries for multi-turn workflows

See it in action

PubNub (Real-time Messaging) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

PubNub (Real-time Messaging) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect PubNub (Real-time Messaging) 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for PubNub (Real-time Messaging) in LangChain

The PubNub (Real-time Messaging) 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 31 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.

Unlock for AI Agents View full PubNub (Real-time Messaging) details →

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

The Vinkius Advantage

How Vinkius secures
PubNub (Real-time Messaging) for LangChain

Every tool call from LangChain to the PubNub (Real-time Messaging) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I check if a specific user is currently online in a channel?

You can use the presence_here_now tool to see a list of all active UUIDs in a specific channel, or presence_where_now to find all channels a specific UUID is currently subscribed to.

Can the AI retrieve past messages from a channel?

Yes, the get_message_history tool allows the agent to fetch historical messages from one or more channels, including metadata and specific time ranges.

Is it possible to manage user profiles and metadata through this server?

Absolutely. You can use set_user to create or update profiles and get_user to retrieve them. You can also manage channel metadata using set_channel and get_channel.

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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