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Why use PitchBook MCP Server with Pydantic AI?

Bring Market Intelligence
to Pydantic AI

Create your Vinkius account to connect PitchBook to Pydantic AI and start using all 13 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

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PitchBook

What is the PitchBook MCP Server?

What you can do

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

  • 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

How it works

  1. Connect your PitchBook account via API token from your Direct Data subscription
  2. Ask your AI agent to research companies, analyze deal flow, or map investor networks
  3. Natural language commands replace manual PitchBook platform searches
  4. Structured market data returned in formatted responses with pagination metadata

Who is this for?

Essential for venture capitalists, private equity professionals, investment bankers, corporate development teams, limited partners, fundraisers, management consultants, and financial journalists. Let AI agents perform company due diligence, track competitor fundraising, identify potential acquirers or investors, research LP backgrounds, map professional networks, and assess exit probabilities. Perfect for professionals who need to answer questions like 'What companies raised Series A in AI/ML last quarter?', 'Which PE firms are most active in healthcare buyouts?', or 'What is the predicted exit probability for this portfolio company?'

Built-in capabilities (13)

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

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

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

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

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

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

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

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

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

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

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

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

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

Why Pydantic AI?

Pydantic AI validates every PitchBook tool response against typed schemas, catching data inconsistencies at build time. Connect 13 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.

  • 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 PitchBook integration code

  • Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

  • Dependency injection system cleanly separates your PitchBook connection logic from agent behavior for testable, maintainable code

P
See it in action

PitchBook in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run PitchBook with Vinkius?

The PitchBook connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 13 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full PitchBook details →
PitchBook
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect PitchBook using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

PitchBook and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect PitchBook to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures PitchBook for Pydantic AI

Every request between Pydantic AI and PitchBook is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Is a PitchBook Direct Data API subscription required?

Yes. This integration requires an active PitchBook Direct Data API token.

02

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

03

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

04

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your PitchBook MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

05

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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