Filemail MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Complete Transfer, Delete Transfer, Get Configuration, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Filemail through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Filemail app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Filemail "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Filemail?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Filemail MCP Server
Connect your Filemail account to any AI agent and take full control of your secure file sharing and transfer workflows through natural conversation.
Pydantic AI validates every Filemail tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Transfer Orchestration — Initialize large file transfers programmatically and retrieve secure upload URLs and metadata
- Delivery Tracking — Monitor sent and received transfers in real-time, including download statuses and expiration dates
- Asset Access — Programmatically retrieve download links and compressed ZIP URLs for any transfer in your account
- Contact Management — Access your address book and manage recipient directories to streamline your sharing operations
- System Monitoring — Track account storage limits, configuration, and API connectivity directly through your agent
The Filemail MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Filemail tools available for Pydantic AI
When Pydantic AI connects to Filemail through Vinkius, your AI agent gets direct access to every tool listed below — spanning large-file-transfer, secure-sharing, download-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Finalize a file transfer
Delete a transfer
Get account configuration
Get details of a specific transfer
Get user profile
Initialize a new file transfer
List contacts
List received transfers (inbox)
List sent transfers
Login to Filemail
Connect Filemail to Pydantic AI via MCP
Follow these steps to wire Filemail into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Filemail MCP Server
Pydantic AI provides unique advantages when paired with Filemail through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Filemail integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Filemail connection logic from agent behavior for testable, maintainable code
Filemail + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Filemail MCP Server delivers measurable value.
Type-safe data pipelines: query Filemail with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Filemail tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Filemail and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Filemail responses and write comprehensive agent tests
Example Prompts for Filemail in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Filemail immediately.
"List all my sent transfers on Filemail."
"Get the download link for transfer ID 'ABC-123'."
"Check my Filemail account storage usage."
Troubleshooting Filemail MCP Server with Pydantic AI
Common issues when connecting Filemail to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFilemail + Pydantic AI FAQ
Common questions about integrating Filemail MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.