Alphamoon MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Alphamoon Status, Delete Document, Get Document, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Alphamoon 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 Alphamoon app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 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 Alphamoon "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Alphamoon?"
)
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 Alphamoon MCP Server
Connect your Alphamoon account to any AI agent and take full control of your automated document processing and intelligent data extraction workflows through natural conversation.
Pydantic AI validates every Alphamoon tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Pipeline Orchestration — List and manage available document automation pipelines programmatically to coordinate high-fidelity data extraction tasks
- AI Data Extraction — Programmatically retrieve structured fields from processed documents (invoices, IDs, etc.) with high-fidelity accuracy and confidence scores
- Raw OCR Intelligence — Access the complete high-fidelity recognized text (OCR) from scanned files and PDFs directly through your agent
- Document Lifecycle Management — List all processed documents and monitor their status programmatically to maintain a perfectly coordinated audit trail
- Infrastructure Monitoring — Verify API connectivity and retrieve account-level metadata directly through your agent for instant operational reporting
The Alphamoon MCP Server exposes 12 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 12 Alphamoon tools available for Pydantic AI
When Pydantic AI connects to Alphamoon through Vinkius, your AI agent gets direct access to every tool listed below — spanning alphamoon, ocr-api, document-extraction, 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.
Verify connectivity
Delete a document
Get document details
Get extraction results
Get OCR results
Get process details
Get template details
List documents
List documents by process
List processes
List templates
Upload a document
Connect Alphamoon to Pydantic AI via MCP
Follow these steps to wire Alphamoon 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 Alphamoon MCP Server
Pydantic AI provides unique advantages when paired with Alphamoon 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 Alphamoon integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Alphamoon connection logic from agent behavior for testable, maintainable code
Alphamoon + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Alphamoon MCP Server delivers measurable value.
Type-safe data pipelines: query Alphamoon with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Alphamoon tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Alphamoon and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Alphamoon responses and write comprehensive agent tests
Example Prompts for Alphamoon in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Alphamoon immediately.
"List all my document automation pipelines in Alphamoon."
"Show the extraction results for document ID '90210'."
"Get the raw OCR text from document '90210'."
Troubleshooting Alphamoon MCP Server with Pydantic AI
Common issues when connecting Alphamoon to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAlphamoon + Pydantic AI FAQ
Common questions about integrating Alphamoon 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.