PitchBook MCP Server for Vercel AI SDK 13 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PitchBook through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using PitchBook, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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:
The Vercel AI SDK gives every PitchBook tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- 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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the PitchBook MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 13 tools from PitchBook and passes them to the LLM
Why Use Vercel AI SDK with the PitchBook MCP Server
Vercel AI SDK provides unique advantages when paired with PitchBook through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PitchBook integration everywhere
Built-in streaming UI primitives let you display PitchBook tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
PitchBook + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PitchBook MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PitchBook in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PitchBook tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PitchBook capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PitchBook through natural language queries
PitchBook MCP Tools for Vercel AI SDK (13)
These 13 tools become available when you connect PitchBook to Vercel AI SDK via MCP:
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
Example Prompts for PitchBook in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PitchBook immediately.
"Search for artificial intelligence startups that raised a Series A round in the last 6 months."
Troubleshooting PitchBook MCP Server with Vercel AI SDK
Common issues when connecting PitchBook to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPitchBook + Vercel AI SDK FAQ
Common questions about integrating PitchBook MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect PitchBook with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PitchBook to Vercel AI SDK
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.