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PitchBook MCP Server for OpenAI Agents SDK 13 tools — connect in under 2 minutes

Built by Vinkius GDPR 13 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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="PitchBook Assistant",
            instructions=(
                "You help users interact with PitchBook. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
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About PitchBook MCP Server

What you can do

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

The OpenAI Agents SDK auto-discovers all 13 tools from PitchBook through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PitchBook, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

  • 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 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.

How to Connect PitchBook to OpenAI Agents SDK via MCP

Follow these steps to integrate the PitchBook MCP Server with OpenAI Agents SDK.

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 13 tools from PitchBook

Why Use OpenAI Agents SDK with the PitchBook MCP Server

OpenAI Agents SDK provides unique advantages when paired with PitchBook 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

PitchBook + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

PitchBook MCP Tools for OpenAI Agents SDK (13)

These 13 tools become available when you connect PitchBook to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting PitchBook 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.

PitchBook + OpenAI Agents SDK FAQ

Common questions about integrating PitchBook 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.

Connect PitchBook to OpenAI Agents SDK

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