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DeckMatch MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Delete Submission, Generate Investment Memo, Get Api Status, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DeckMatch through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

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The DeckMatch app connector for OpenAI Agents SDK is a standout in the Artificial Intelligence 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DeckMatch Assistant",
            instructions=(
                "You help users interact with DeckMatch. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DeckMatch"
        )
        print(result.final_output)

asyncio.run(main())
DeckMatch
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 DeckMatch MCP Server

Connect your DeckMatch (now AlphaLens) account to any AI agent and take full control of your venture capital deal flow and startup analysis workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from DeckMatch through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DeckMatch, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Deck Orchestration — Submit pitch deck URLs (PDF, PPTX, DocSend) programmatically to trigger automated data extraction and high-fidelity analysis
  • Investment Intelligence — Programmatically generate professional investment memos and retrieve AI-driven triage results, including problem/solution and business models
  • Semantic Discovery — Use the AlphaLens search engine to find startups matching specific strategic criteria and identify market signals directly through your agent
  • Portfolio Monitoring — Access your complete directory of analyzed decks and monitor triage statuses to maintain perfectly coordinated deal flow pipelines
  • Operational Monitoring — Check API health status, retrieve audit logs, and manage organization tags to maintain high-fidelity records of your investment activity

The DeckMatch MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 DeckMatch tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to DeckMatch through Vinkius, your AI agent gets direct access to every tool listed below — spanning pitch-deck-analysis, investment-triage, deal-flow, 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.

delete_submission

Remove pitch deck

generate_investment_memo

Create investment memo

get_api_status

Get connectivity info

get_deck_analysis

Get AI triage results

get_submission_audit

Get audit trail

get_submission_details

Get full submission info

list_enrichment_sources

Get data sources

list_submission_tags

List available tags

list_submissions

List all analyzed decks

search_startups_semantically

Find similar startups

submit_pitch_deck

Submit a deck for AI analysis

tag_submission

Label a submission

Connect DeckMatch to OpenAI Agents SDK via MCP

Follow these steps to wire DeckMatch into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from DeckMatch

Why Use OpenAI Agents SDK with the DeckMatch MCP Server

OpenAI Agents SDK provides unique advantages when paired with DeckMatch through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DeckMatch + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DeckMatch MCP Server delivers measurable value.

01

Automated workflows: build agents that query DeckMatch, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries DeckMatch, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through DeckMatch tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query DeckMatch to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for DeckMatch in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DeckMatch immediately.

01

"Analyze this pitch deck: 'https://docsend.com/view/example-deck'."

02

"Find startups similar to 'Stripe' focusing on 'climate tech payments'."

03

"Generate an investment memo for submission 'sub_123'."

Troubleshooting DeckMatch MCP Server with OpenAI Agents SDK

Common issues when connecting DeckMatch to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DeckMatch + OpenAI Agents SDK FAQ

Common questions about integrating DeckMatch MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.