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PitchBook MCP Server for Google ADK 13 tools — connect in under 2 minutes

Built by Vinkius GDPR 13 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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="pitchbook_agent",
    instruction=(
        "You help users interact with PitchBook "
        "using 13 available tools."
    ),
    tools=[mcp_tools],
)
PitchBook
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 PitchBook MCP Server

What you can do

Connect AI agents to the PitchBook Direct Data API for comprehensive private market intelligence:

Google ADK natively supports PitchBook as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Search companies across global private and public markets with industry and status filters
  • Get complete company profiles with founding dates, headquarters, employees, and industry classifications
  • Track financing history from Seed to Series D+ with deal sizes, investor syndicates, and valuations
  • Research deals including VC investments, M&A transactions, LBOs, and public offerings
  • Analyze investors — VC firms, PE firms, angels, family offices, and corporate venture arms
  • Explore investment funds with AUM, vintage years, stage preferences, and sector focus
  • Find professionals — founders, executives, board members, and key decision-makers
  • Identify limited partners — pension funds, endowments, sovereign wealth funds, and family offices
  • Get AI-powered VC exit predictions for portfolio companies with IPO and acquisition probability scores

The PitchBook MCP Server exposes 13 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.

How to Connect PitchBook to Google ADK via MCP

Follow these steps to integrate the PitchBook MCP Server with Google ADK.

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 13 tools from PitchBook via MCP

Why Use Google ADK with the PitchBook MCP Server

Google ADK provides unique advantages when paired with PitchBook 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 PitchBook

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 PitchBook tools with BigQuery, Vertex AI, and Cloud Functions

PitchBook + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query PitchBook 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 PitchBook

PitchBook MCP Tools for Google ADK (13)

These 13 tools become available when you connect PitchBook to Google ADK via MCP:

01

get_companies

Returns company names, statuses, industries, locations, and key identifiers. Use optional filters to narrow results by industry, location, company status (Active, Acquired, Closed, IPO), or other attributes. Results follow JSON:API format with pagination metadata. Use this to find startups, established companies, or emerging players in specific sectors. Search and list companies in the PitchBook private market database

02

get_company

Requires the company ID from get_companies results. Use this for comprehensive company due diligence and background research. Get detailed profile for a specific company in PitchBook

03

get_company_financing

Each round shows announced date, amount raised (USD), lead investors, participating investors, deal structure, and post-money valuation if disclosed. Requires the company ID from get_companies or get_company results. Use this to analyze a company's fundraising trajectory, total capital raised, and investor syndicate composition. Get complete funding/financing history for a specific company

04

get_deal

), announced date, deal size (if disclosed), all participating companies, investors, funds, and financial advisors, deal terms and structure, and any publicly available valuation data. Requires the deal ID from get_deals results. Use this for deep analysis of specific transactions, competitive deal intelligence, or investment thesis validation. Get detailed information about a specific deal/transaction

05

get_deals

Returns deal names, types (VC Deal, M&A, IPO, LBO, etc.), announced dates, deal sizes (if disclosed), and participating entities. Use optional filters to narrow by deal type, industry, location, or date range. Results follow JSON:API format with pagination metadata. Use this to track recent deal activity, identify active investors, or monitor M&A trends. Search and list deals (VC investments, M&A, offerings) in PitchBook

06

get_fund

Requires the fund ID from get_funds results. Use this for fund-level due diligence, LP allocation decisions, or understanding fund investment strategies. Get detailed information about a specific investment fund

07

get_funds

Returns fund names, types, sizes (if disclosed), vintages (year), investor/firm names, and key identifiers. Use optional filters to narrow by fund type, vintage year, fund size, or investor. Use this to analyze fund raising trends, identify active funds in a vintage, or research fund managers for LP due diligence. Search and list investment funds in PitchBook

08

get_investor

), sector focus areas, geographic focus, notable portfolio companies, and key personnel. Requires the investor ID from get_investors results. Use this for thorough investor due diligence, LP fundraising research, or understanding investment firm strategies. Get detailed profile for a specific investor/firm

09

get_investors

Returns investor names, types (VC, PE, Angel, Corporate VC, etc.), headquarters locations, fund counts, total AUM (if disclosed), and key identifiers. Use optional filters to narrow by investor type, location, or fund size. Use this to find potential investors, research competitor firms, or map the investment landscape. Search and list investors (VC firms, angels, PE firms) in PitchBook

10

get_limited_partners

Returns LP names, types, locations, total commitments (if disclosed), and key identifiers. Use optional filters to narrow by LP type, location, or commitment size. Use this for LP fundraising research, understanding LP allocation trends, or identifying potential fund investors. Search and list limited partners (LPs) in PitchBook

11

get_professional

Requires the professional ID from get_professionals results. Use this for thorough individual due diligence, founder background checks, or mapping professional deal flow networks. Get detailed profile for a specific professional

12

get_professionals

Returns names, current titles, organizational affiliations, locations, and key identifiers. Use optional filters to narrow by title, organization, or location. Use this to find key decision-makers, research founder backgrounds, or map professional networks in the startup ecosystem. Search and list professionals (founders, executives, investors) in PitchBook

13

get_vc_exit_predictor

Returns the predicted exit likelihood score, predicted exit type (IPO, Acquisition, Secondary), predicted exit timeframe, and comparable exits used in the model. Requires the company ID from get_companies results. Use this to assess exit probability for portfolio companies, identify likely IPO candidates, or evaluate acquisition potential of target companies. Note: This is a predictive model output, not a guaranteed outcome. Get AI-powered VC exit prediction for a specific company

Example Prompts for PitchBook in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with PitchBook immediately.

01

"Search for artificial intelligence startups that raised a Series A round in the last 6 months."

Troubleshooting PitchBook MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

PitchBook + Google ADK FAQ

Common questions about integrating PitchBook 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.

Connect PitchBook to Google ADK

Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.