How to Use the Documo MCP in Pydantic AI

Q: How do I register the Documo server with Pydantic AI?

Use the MCPToolset class pointing to your Vinkius HTTP endpoint. Pass the toolset into your Agent constructor using the toolsets parameter.

Q: Can my Pydantic AI setup track failed Documo faxes using type-safe models?

Yes, your agent can call listfailedfaxdeliveries to inspect broken transmissions. The returned metadata is strictly typed, making it easy to parse error reasons.

Q: How do I fetch the latest transmissions securely?

Use listlatestfaxtransmissions to get a structured log of recent activity. Your agent can run this check on a cron job to keep your databases synchronized.

Bring type-safe digital fax tracking to your Pydantic AI agents with this MCP Server.

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Connect Documo MCP to Pydantic AI

Create your Vinkius account to connect Documo 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 Documo with Pydantic AI

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Validate fax searches inside Pydantic AI

`search_faxes_by_recipient` finds matching transmissions using a recipient number or unique identifier. This tool ensures your agent locates documents without guessing or hallucinating search results. Pydantic AI enforces strict schemas on the returned data, throwing immediate errors if the API payload doesn't match your expected model. This guarantees your database integrations never ingest corrupt metadata.

Audit organization users with this MCP Server

`list_documo_users` returns a validated list of all registered members in your organization. This tool lets your agent check permissions before sharing sensitive document summaries. If a user isn't in the returned list, the agent halts execution immediately. This programmatic boundary keeps your internal document distribution secure.

Monitor account metadata and limits

`get_documo_account_metadata` pulls current usage statistics and hard limits directly from your account. This MCP tool gives your agent the data it needs to budget outbound transmissions. By calling this before bulk runs, your agent avoids rate limits. It keeps your automated pipelines running within budget and without interruption.

Setup guide

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

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

result = await agent.run("List recent Documo 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 Documo. 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 Documo MCP in Pydantic AI

Use the `MCPToolset` class pointing to your Vinkius HTTP endpoint. Pass the toolset into your Agent constructor using the `toolsets` parameter.

The framework validates all incoming payloads at runtime. If the API returns unexpected structures, your agent raises a validation error immediately rather than failing silently.

Yes, your agent can call `list_failed_fax_deliveries` to inspect broken transmissions. The returned metadata is strictly typed, making it easy to parse error reasons.

Use `list_latest_fax_transmissions` to get a structured log of recent activity. Your agent can run this check on a cron job to keep your databases synchronized.

Every request to fetch metadata or list faxes runs through an isolated V8 sandbox with token-based authentication. Your credentials and transmission logs are never exposed to external networks.

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