Crunchbase MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Crunchbase through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Crunchbase "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Crunchbase?"
)
print(result.data)
asyncio.run(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 Crunchbase MCP Server
What you can do
Connect AI agents to the Crunchbase API for comprehensive business intelligence and startup ecosystem analysis:
Pydantic AI validates every Crunchbase tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.
- Search companies by name to find startups, enterprises, and emerging tech firms
- Get complete company profiles with founding dates, headquarters, employee counts, and operating status
- Track funding rounds from Seed to Series D+ with amounts, dates, and investor syndicates
- Analyze acquisition history to understand M&A strategies and consolidation patterns
- Research investors including VC firms, angels, and corporate venture arms with full portfolios
- Find entrepreneurs and executives with detailed career histories and board memberships
- Monitor IPO activity with stock exchange details, ticker symbols, and offering data
- Map investment networks to identify co-investor relationships and deal flow patterns
The Crunchbase MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Crunchbase to Pydantic AI via MCP
Follow these steps to integrate the Crunchbase MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Crunchbase with type-safe schemas
Why Use Pydantic AI with the Crunchbase MCP Server
Pydantic AI provides unique advantages when paired with Crunchbase through the Model Context Protocol.
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 Crunchbase integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Crunchbase connection logic from agent behavior for testable, maintainable code
Crunchbase + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Crunchbase MCP Server delivers measurable value.
Type-safe data pipelines: query Crunchbase with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Crunchbase tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Crunchbase and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Crunchbase responses and write comprehensive agent tests
Crunchbase MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Crunchbase to Pydantic AI via MCP:
get_acquisition_details
Use this after list_acquisitions to understand the full context of a specific M&A deal. Get complete details of a specific acquisition transaction
get_funding_round_details
), announced date, all participating investors with their investment roles (lead, participant), pre-money and post-money valuations if disclosed, number of investors, and associated press release links. Use this after list_funding_rounds to deep-dive into a specific funding event. Get detailed information about a specific funding round transaction
get_ipo_details
), ticker symbol, IPO date, share price at offering, number of shares offered, total capital raised from IPO, and post-IPO valuation. Use this for companies that have gone public to understand their transition from private to public markets. Get IPO (Initial Public Offering) details for a public organization
get_organization_details
Returns the entity overview with all known metadata Crunchbase has on file. Use this after search_organizations to get the full company profile including funding totals, acquisition history, and key personnel. Get complete profile and metadata for a specific organization from Crunchbase
get_person_details
Use this after search_people to get the full biography and career history of founders, investors, or executives. Get detailed professional profile for a specific person from Crunchbase
list_acquisitions
Shows companies acquired by this organization (if it's an acquirer) or acquisition events where this organization was the target. Each acquisition includes the acquired company name, acquisition date, price (if disclosed), acquisition type (acquisition, merger, acquihire, buyout), and acquiring company details. Use this to understand a company's growth-through-acquisition strategy or identify which companies a startup has absorbed. List all acquisitions made by or involving a specific organization
list_funding_rounds
Each funding round includes the stage (Seed, Angel, Series A, Series B, Series C, Series D+, Series Unknown, Convertible Note, Post-IPO Equity, Post-IPO Debt, Grant, Venture Round, Corporate Round), announced date, amount raised (in USD if available), lead investors, participating investors, and post-money valuation if disclosed. Use this to analyze a company's fundraising trajectory, total capital raised, and investor syndicate. List all funding rounds (Seed, Series A/B/C, IPO, etc.) for a specific organization
list_investments
Each investment entry includes the company invested in, funding round participated (Seed, Series A, etc.), investment date, co-investors in the same round, and whether this investor led the round. Use this to analyze a VC firm's investment thesis, portfolio diversity, recent deal activity, or find startups backed by a specific investor. List all investments made by a specific organization or investor
search_organizations
Returns organization names, short descriptions, operational status (operating, acquired, closed), headquarters locations, and industry categories. Use this as the first step to find a company before getting detailed funding, acquisition, or personnel data. The search returns up to 20 matching organizations ranked by relevance. Search for companies and organizations by name keyword in Crunchbase
search_people
Returns person names, current job titles, organizational affiliations, locations, and brief career summaries. Use this to find founders, CEOs, investors, or board members before getting their detailed profiles with investment history and professional relationships. Search for entrepreneurs, investors, executives, and board members by name in Crunchbase
Example Prompts for Crunchbase in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Crunchbase immediately.
"Search for all funding rounds raised by Stripe and show me the total amount raised"
"Which venture capital firms invested in OpenAI's funding rounds?"
"Show me all companies acquired by Google in the last 5 years"
Troubleshooting Crunchbase MCP Server with Pydantic AI
Common issues when connecting Crunchbase to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCrunchbase + Pydantic AI FAQ
Common questions about integrating Crunchbase MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Crunchbase 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 Crunchbase to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.