How to Use the Joomag MCP in Pydantic AI
Connect Joomag to Pydantic AI for type-safe publication management and strict runtime validation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Joomag MCP to Pydantic AI
Create your Vinkius account to connect Joomag 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 Joomag publication lookups
The `get_publication` tool returns metadata, branding settings, and access configurations for a specific digital publication. Pydantic AI validates every field in this response against your defined models at runtime. If the API returns unexpected branding formats, the agent fails loudly with a validation error. You never have to worry about silent corruption when querying `list_publications` for titles and IDs.
Track release history with this MCP Server
The `list_issues` tool pulls the content history and specific issue IDs for your magazines or catalogs. Your agent relies on this to find exact version releases without hallucinating IDs. Once the correct ID is verified, `get_issue` retrieves the deep-dive details for that specific edition. Because Pydantic AI is model-agnostic, you can run this exact lookup flow using local models or Anthropic.
Validate CRM and campaign metrics
The `list_contacts` tool extracts names, emails, and subscription statuses for audience audits. Every contact record gets checked against your strict schema constraints before the agent processes it. For performance tracking, `list_analytics` handles views and engagement trends, while `list_campaigns` monitors distribution efforts. If a campaign metric comes back as a string instead of an integer, the framework catches it immediately.
Set up Joomag 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": {
"joomag-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Joomag tools.",
)
result = await agent.run("List recent Joomag 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 Joomag. 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 Joomag MCP in Pydantic AI
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