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DeckMatch MCP Server for Google ADKGive Google ADK instant access to 12 tools to Delete Submission, Generate Investment Memo, Get Api Status, and more

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DeckMatch as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The DeckMatch app connector for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="deckmatch_agent",
    instruction=(
        "You help users interact with DeckMatch "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)
DeckMatch
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Google ADK natively supports DeckMatch as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 12 tools from DeckMatch via MCP

Why Use Google ADK with the DeckMatch MCP Server

Google ADK provides unique advantages when paired with DeckMatch through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DeckMatch

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine DeckMatch tools with BigQuery, Vertex AI, and Cloud Functions

DeckMatch + Google ADK Use Cases

Practical scenarios where Google ADK combined with the DeckMatch MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query DeckMatch and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine DeckMatch tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query DeckMatch regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DeckMatch

Example Prompts for DeckMatch in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting DeckMatch to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

DeckMatch + Google ADK FAQ

Common questions about integrating DeckMatch MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.