Can my agent confirm if an international number is reachable via Clickatell?

Yes. Use the 'test_carrier_coverage' tool. Provide the destination number in international format, and the agent will check Clickatell's network traces to confirm if the route is active and supported.

How do I monitor my remaining SMS credits through the agent?

Ask your agent to get the account balance. It retrieves the explicit funding limits from your Clickatell profile, helping you prevent zero-balance halts during critical messaging flows.

Can I automate replies based on incoming keywords?

Absolutely. You can use the 'upsert_inbound_rule' tool to define keyword triggers and webhook URLs. This allows your agent to configure automated two-way communication schemas without manually editing portal settings.

Clickatell MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Clickatell
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "clickatell": {
            "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 Clickatell, 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 Clickatell MCP Server

Connect your Clickatell account to any AI agent and take full control of your global mobile messaging workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Clickatell through native MCP adapters. Connect 10 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

SMS Dispatch — Send single or bulk SMS messages natively with support for E.164 formatting and Unicode payloads
Delivery Tracking — Perform structural extraction of properties driving final carrier statuses to confirm your messages reached cellular towers
Account Management — Monitor your available API balance and check international network coverage for specific numbers
Campaign Monitoring — List scheduled text blasts and audit delivery timings strictly within Clickatell limits
Inbound Reply Rules — Create and manage keyword-based reply rules and webhooks to automate two-way messaging flows

The Clickatell MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Clickatell to LangChain via MCP

Follow these steps to integrate the Clickatell MCP Server with LangChain.

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 10 tools from Clickatell via MCP

Why Use LangChain with the Clickatell MCP Server

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

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

Clickatell + LangChain Use Cases

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

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

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

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

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

Clickatell MCP Tools for LangChain (10)

These 10 tools become available when you connect Clickatell to LangChain via MCP:

cancel_queued_message

Irreversibly vaporize explicit SMS blocks deleting scheduled drops

dispatch_bulk_sms

164 boundaries optimizing Clickatell pipeline bandwidth directly avoiding API lag. Identify bounded routing spaces bridging concurrent SMS arrays

dispatch_sms_message

164 natively. Provision a massively scalable JSON Payload rendering outbound SMS natively over Clickatell

get_account_balance

Retrieve explicit Cloud metrics tracing active Funding Limits

get_delivery_status

Perform structural extraction of properties driving final Carrier statuses

list_inbound_rules

Enumerate explicitly attached structured rules traversing MO bounds

list_scheduled_campaigns

Identify precise active arrays spanning Marketing boundaries

test_carrier_coverage

Dispatch an automated validation check routing MSISDN routes

upsert_inbound_rule

Bootstrap an entirely empty structural parsing block allocating Webhooks

wipe_inbound_rule

Obliterate mapped HTTP Logic bounds avoiding legacy routing

Example Prompts for Clickatell in LangChain

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

"Send SMS to +1234567890: 'Your order #987 is ready for pickup!'"

"What is my current Clickatell account balance?"

"Check delivery status for message ID msg_789"

Troubleshooting Clickatell MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clickatell + LangChain FAQ

Common questions about integrating Clickatell 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.