How to Use the Hiver MCP in Pydantic AI

Q: Does Pydantic AI validate the responses from the Hiver MCP tools?

Yes. Every response from tools like getconversationdetails is validated against strict Pydantic schemas at runtime to prevent silent data corruption.

Q: Can my Pydantic AI agent modify thread statuses in Hiver?

Yes. The agent uses updatethreadstatus to update conversations, and the framework ensures the status payload matches the allowed API parameters.

Q: How do I check if my Hiver credentials are valid in my code?

You can call testhiverauth during your application's initialization phase. This verifies your API token is active before starting your agent loops.

Build type-safe email automation agents with this Hiver MCP Server and the Pydantic AI framework.

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Connect Hiver MCP to Pydantic AI

Create your Vinkius account to connect Hiver 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 Hiver with Pydantic AI

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Type-safe conversation triage with Pydantic AI

This MCP Server exposes tools like `list_inbox_conversations` and `get_conversation_details` with strict schema validation. Your agent receives structured email data that is validated against Pydantic models before your code even runs. If the API returns unexpected thread structures, the framework catches the discrepancy immediately. This prevents your agent from acting on corrupted email data or making incorrect assumptions about ticket states.

Safe draft creation with runtime validation

The `create_shared_draft` tool lets your agent write collaborative drafts directly into your shared Gmail folders. Because Pydantic AI validates all inputs, you can guarantee the draft payload matches Hiver's schema requirements. This prevents API errors and broken drafts from disrupting your support agents inside Gmail. Your agent can confidently draft replies based on validated thread histories.

Track team and tag metadata without silent failures

The `list_inbox_tags` and `list_inbox_members` tools return validated lists of your team's configuration. Your agent can search for tags using `search_tags_by_name` knowing the returned objects are perfectly typed. You can use these typed outputs to safely call `update_thread_status` to update tags or assigners. This eliminates runtime type errors when managing your shared inbox metadata.

Setup guide

Set up Hiver 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": {
        "hiver-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Hiver MCP in Pydantic AI

Instantiate the MCPToolset with your Vinkius HTTP endpoint URL. Pass this toolset directly into your Agent's toolsets list to expose all 12 Hiver tools.

Yes. Every response from tools like `get_conversation_details` is validated against strict Pydantic schemas at runtime to prevent silent data corruption.

Yes. The agent uses `update_thread_status` to update conversations, and the framework ensures the status payload matches the allowed API parameters.

You can call `test_hiver_auth` during your application's initialization phase. This verifies your API token is active before starting your agent loops.

No. Your team metadata, drafts, and email threads are only processed in transit through zero-trust, ephemeral V8 sandboxes. Your data belongs to you and is never persisted on Vinkius infrastructure.

Use it with your favorite AI tools

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