How to Use the Elastic Email MCP in Pydantic AI

Q: How do I connect the Elastic Email MCP Server to Pydantic AI?

Install pydantic-ai-slimmcp. Initialize an MCPToolset with your Vinkius HTTP endpoint URL. Pass that toolset directly to your Agent instance.

Q: Will Pydantic AI fail if Elastic Email returns unexpected data?

Yes, and that is by design. If quickmarketingvolumeaudit returns a string instead of an expected integer, Pydantic AI throws a validation error immediately.

Q: Can I check my account limits using Elastic Email and Pydantic AI?

You can. The getelasticemailmetadata tool returns your usage limits. The framework ensures the quota numbers are cast to the correct types before your logic evaluates them.

Q: How do I list my contact segments with Elastic Email and Pydantic AI?

Your agent executes listcontactaddresslists. It receives a strictly typed array of your lists, making it easy to iterate through them without writing custom parsing logic.

Bring type-safe Elastic Email operations to Pydantic AI. Validate every campaign metric and contact profile.

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Connect Elastic Email MCP to Pydantic AI

Create your Vinkius account to connect Elastic Email 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.

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Setup Elastic Email with Pydantic AI

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Type-Safe Contact Profiles

The `get_contact_profile` tool fetches the complete history for a specific subscriber. Pydantic AI enforces strict schemas on the response. If the API changes a field name, the agent fails loudly instead of hallucinating data. You trigger this by first running `search_contacts_by_email`. The agent finds the target, grabs their profile, and guarantees the data structure matches your internal models before proceeding.

Strict Campaign Performance

The `get_campaign_performance` tool extracts exact open and click metrics for your marketing blasts. Your agent handles real integers and floats, not messy text summaries. This MCP Server pairs well with `list_marketing_campaigns`. Your agent can iterate through historical sends and build a validated performance report without dropping a single metric.

Validate Delivery Logs via Pydantic AI

The `list_delivery_logs` tool pulls the raw delivery status for recent messages. You get hard facts about what bounced and what landed in the inbox. Because Pydantic AI cares about correctness, it parses these logs flawlessly. You can write scripts that automatically prune invalid emails from your lists based on strict bounce criteria.

Setup guide

Set up Elastic Email 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "elastic-email-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Elastic Email tools.",
)

result = await agent.run("List recent Elastic Email transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Elastic Email. 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 Elastic Email MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Initialize an `MCPToolset` with your Vinkius HTTP endpoint URL. Pass that toolset directly to your Agent instance.

Yes, and that is by design. If `quick_marketing_volume_audit` returns a string instead of an expected integer, Pydantic AI throws a validation error immediately.

You can. The `get_elastic_email_metadata` tool returns your usage limits. The framework ensures the quota numbers are cast to the correct types before your logic evaluates them.

Your agent executes `list_contact_address_lists`. It receives a strictly typed array of your lists, making it easy to iterate through them without writing custom parsing logic.

This MCP integration touches campaign performance metrics and raw delivery logs. Vinkius isolates every tool execution in a dedicated sandbox that is destroyed the millisecond the request finishes, preventing any cross-tenant data leakage.

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