How to Use the Mail Blaze MCP in Pydantic AI
Build type-safe email automation pipelines with Pydantic AI and Mail Blaze to prevent schema errors at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mail Blaze MCP to Pydantic AI
Create your Vinkius account to connect Mail Blaze 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.
Type-safe subscriber syncing in Pydantic AI
This MCP Server integration relies on the `add_subscriber_to_list` tool to enforce strict schema validation when adding new contacts to your database. If your application sends invalid subscriber data, the runtime fails immediately before hitting the API. This type safety extends to `update_list_subscriber` and `delete_list_subscriber`. You never have to worry about silent failures or corrupted contact records syncing to your marketing lists.
Strict validation for email campaigns
Using this MCP Server, the `create_new_campaign` tool requires structured JSON input that is validated against strict Pydantic models. This ensures your subject lines, sender details, and HTML content are formatted perfectly. Once validated, the campaign can be safely dispatched using `send_email_campaign`. The framework guarantees that only structurally sound campaigns make it to your subscribers' inboxes.
Structured auditing of lists and metrics
The `get_campaign_details` tool returns strongly typed campaign metrics directly to your agent. Your code can safely parse open rates and click counts without risk of missing fields. Running `list_subscriber_lists` and `list_list_subscribers` lets your system inspect current audiences. The returned data conforms strictly to your defined schemas, making downstream data processing predictable.
Set up Mail Blaze 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": {
"mail-blaze-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Mail Blaze tools.",
)
result = await agent.run("List recent Mail Blaze 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 Mail Blaze. 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 Mail Blaze MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the Mail Blaze MCP today
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