How to Use the Clickatell MCP in Pydantic AI
Type-safe Clickatell SMS operations powered by Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clickatell MCP to Pydantic AI
Create your Vinkius account to connect Clickatell to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Strict Validation for Pydantic AI SMS
Silent corruption is the enemy of automated messaging. When your agent calls `dispatch_sms_message`, Pydantic AI validates the JSON payload against your defined models before anything goes over the wire. If the model hallucinates a phone number format, the framework fails loudly with a validation error. The same strict rules apply to checking your wallet. Executing `get_account_balance` returns explicit cloud metrics that get parsed directly into a Pydantic schema. You know exactly what your funding limits are without guessing field names.
Type-Checked Delivery Tracking
Carrier statuses are notoriously messy to parse. Your agent hits `get_delivery_status` and relies on the Clickatell MCP Server to handle the structural extraction. The response maps perfectly to your Python types, ensuring your database only receives clean delivery records. Finding active rules works exactly the same way. The agent runs `list_inbound_rules` to enumerate structured rules traversing MO bounds. Every attached webhook URL and routing condition is validated at runtime.
Safe Campaign Management
Modifying live campaign data requires absolute correctness. Using the MCP Server, your agent runs `list_scheduled_campaigns` to identify precise active arrays spanning your marketing boundaries. If a scheduled drop needs to die, `cancel_queued_message` vaporizes the block safely. You also get strict control over inbound routing logic. The agent can bootstrap an empty parsing block with `upsert_inbound_rule`, knowing the webhook allocation matches your schema. Cleaning up legacy routes via `wipe_inbound_rule` is just as predictable.
Set up Clickatell MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"clickatell-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Clickatell tools.",
)
result = await agent.run("List recent Clickatell transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clickatell. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Clickatell MCP in Pydantic AI
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