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

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Crunchbase through Vinkius, pass the Edge URL in the `mcps` parameter and every Crunchbase tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Crunchbase Specialist",
    goal="Help users interact with Crunchbase effectively",
    backstory=(
        "You are an expert at leveraging Crunchbase tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Crunchbase "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Crunchbase
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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:

When paired with CrewAI, Crunchbase becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Crunchbase tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • 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 CrewAI 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 CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Crunchbase

Why Use CrewAI with the Crunchbase MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Crunchbase through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Crunchbase + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Crunchbase for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Crunchbase, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Crunchbase tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Crunchbase against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Crunchbase MCP Tools for CrewAI (10)

These 10 tools become available when you connect Crunchbase to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Crunchbase + CrewAI FAQ

Common questions about integrating Crunchbase MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect Crunchbase to CrewAI

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