Ably MCP Server for LangChainGive LangChain instant access to 14 tools to Batch Presence, Batch Publish, Batch Push Publish, and more

Name: Ably
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Ably MCP Server for LangChain is a standout in the Communication Messaging category — giving your AI agent 14 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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({
        "ably": {
            "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 Ably, 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 Ably MCP Server

Connect your Ably account to any AI agent to orchestrate real-time communication infrastructure through natural language. This server provides full access to the Ably REST API for robust pub/sub messaging and presence management.

LangChain's ecosystem of 500+ components combines seamlessly with Ably through native MCP adapters. Connect 14 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

Messaging — Publish messages to single or multiple channels, retrieve message history, and update or delete existing messages.
Presence Tracking — Monitor real-time member status and history within specific channels to see who is online.
Push Notifications — Send direct push notifications to devices or client IDs for mobile and web engagement.
Channel Management — List active channels, fetch metadata, and monitor usage statistics across your application.
Security & Tokens — Revoke tokens before expiry to maintain tight control over your real-time infrastructure access.

The Ably MCP Server exposes 14 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 14 Ably tools available for LangChain

When LangChain connects to Ably through Vinkius, your AI agent gets direct access to every tool listed below — spanning pub-sub, real-time-messaging, push-notifications, 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.

batch

Batch presence on Ably

Get presence for multiple channels

batch

Batch publish on Ably

Publish messages to multiple channels at once

batch

Batch push publish on Ably

Publish batch push notifications

get

Get channel metadata on Ably

Get metadata for a specific channel

get

Get message on Ably

Get a specific message by serial

get

Get messages on Ably

Retrieve message history for a channel

get

Get presence on Ably

Get current presence members for a channel

get

Get presence history on Ably

Get presence history for a channel

get

Get stats on Ably

Retrieve application usage statistics

list

List channels on Ably

Enumerate all active channels

publish

Publish message on Ably

Publish a message to a specific channel

push

Push publish on Ably

Publish a direct push notification

revoke

Revoke tokens on Ably

Requires revocableTokens: true on the API key. Revoke Ably tokens before their expiry

update

Update message on Ably

Update, delete, or append to a message

Connect Ably to LangChain via MCP

Follow these steps to wire Ably 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 14 tools from Ably via MCP

Why Use LangChain with the Ably MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Ably 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 Ably queries for multi-turn workflows

Ably + LangChain Use Cases

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

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

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

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

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

Example Prompts for Ably in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Ably immediately.

"Publish a message to the 'orders' channel with the event name 'new_order' and data '{"id": 123}'"

"Check who is currently online in the 'chat-room-1' channel."

"Show me the usage statistics for my Ably application."

Troubleshooting Ably MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ably + LangChain FAQ

Common questions about integrating Ably 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.