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Vinkius

Crunchbase MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Crunchbase through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "crunchbase": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Crunchbase, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Crunchbase
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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 Crunchbase MCP Server

What you can do

Connect AI agents to the Crunchbase API for comprehensive business intelligence and startup ecosystem analysis:

LangChain's ecosystem of 500+ components combines seamlessly with Crunchbase through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • 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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Crunchbase MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Crunchbase via MCP

Why Use LangChain with the Crunchbase MCP Server

LangChain provides unique advantages when paired with Crunchbase through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Crunchbase MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Crunchbase queries for multi-turn workflows

Crunchbase + LangChain Use Cases

Practical scenarios where LangChain combined with the Crunchbase MCP Server delivers measurable value.

01

RAG with live data: combine Crunchbase tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Crunchbase, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Crunchbase tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Crunchbase tool call, measure latency, and optimize your agent's performance

Crunchbase MCP Tools for LangChain (10)

These 10 tools become available when you connect Crunchbase to LangChain via MCP:

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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

09

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

10

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 LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Crunchbase immediately.

01

"Search for all funding rounds raised by Stripe and show me the total amount raised"

02

"Which venture capital firms invested in OpenAI's funding rounds?"

03

"Show me all companies acquired by Google in the last 5 years"

Troubleshooting Crunchbase MCP Server with LangChain

Common issues when connecting Crunchbase to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Crunchbase + LangChain FAQ

Common questions about integrating Crunchbase MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Crunchbase to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.