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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Clickatell
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Clickatell through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Clickatell "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Clickatell?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Clickatell tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Clickatell MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Clickatell with type-safe schemas

Why Use Pydantic AI with the Clickatell MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Clickatell integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Clickatell connection logic from agent behavior for testable, maintainable code

Clickatell + Pydantic AI Use Cases

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

Type-safe data pipelines: query Clickatell with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Clickatell tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Clickatell and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Clickatell responses and write comprehensive agent tests

Clickatell MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Clickatell to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Clickatell + Pydantic AI FAQ

Common questions about integrating Clickatell MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Clickatell MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.