How to Use the DeckMatch MCP in Pydantic AI

Use Pydantic AI for type-safe startup analysis and pitch deck management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DeckMatch MCP to Pydantic AI

Create your Vinkius account to connect DeckMatch 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.

GDPR Free for Subscribers

Setup DeckMatch with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe deck triage in Pydantic AI

Call `get_deck_analysis` to receive structured results validated against your Pydantic models. Any malformed output triggers a validation error immediately. Use `submit_pitch_deck` to initiate the process. It ensures the inputs match the schema before the agent attempts to process the file.

Track submissions within Pydantic AI

Run `list_submissions` to pull a list of all decks currently in your queue. The framework validates every field returned by the server. Use `get_submission_details` to get the full record. If the API structure changes, your agent fails safely rather than processing bad data.

Connect your Pydantic AI agent to an MCP Server

Call `list_enrichment_sources` to see where your agent can pull additional startup data. This helps you verify the metadata attached to every submission. Use `tag_submission` to apply labels that your agent can rely on for filtering. It keeps your data clean and type-consistent across your entire workflow.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeckMatch. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DeckMatch now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DeckMatch MCP in Pydantic AI

You instantiate an MCPToolset with your server URL and inject it into the agent. It enforces runtime validation for every tool response.

The server operates in a secure, ephemeral V8 isolate. Sensitive pitch deck content is never shared or stored outside your session.

Yes, because the framework validates responses at runtime. You'll get an immediate error if the data format doesn't match your models.

Yes, you pass a list of toolsets to the agent constructor. This allows you to combine this server with other data sources.

Data is isolated to your specific endpoint token. We purge the submission records once the agent completes the requested analysis.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the DeckMatch MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started