How to Use the Founder Vision Prover MCP in CrewAI
Assemble an autonomous diligence team with CrewAI and the Founder Vision Prover to analyze startup pitches.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Founder Vision Prover MCP to CrewAI
Create your Vinkius account to connect Founder Vision Prover to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assign a 'Skeptical Partner' Agent
With CrewAI, you create an agent with a role. Define a 'Skeptical Partner' agent and give it one job: to run every startup idea through the `validate_founder_vision` tool. This agent's entire purpose is to find fatal flaws in business models. This agent becomes a specialist in your crew. While another agent researches market trends, your Founder Vision Prover agent focuses entirely on the physics of the business: TAM, retention, and unit economics. It shares its findings back to the crew for the next agent to act on.
Create a Diligence Assembly Line
Build a crew for sequential analysis. Agent 1, The Analyst, pulls a pitch from a database. Agent 2, The Skeptic, equipped with this MCP server, runs `validate_founder_vision`. Agent 3, The Writer, takes the verdict and drafts a summary memo. This is the power of CrewAI's task execution. The Founder Vision Prover isn't just a one-off check; it's a critical stage in a fully autonomous workflow. You can ensure no pitch gets to a human without passing this logical stress test first.
Filter Tools for Specialized Agents
The Founder Vision Prover has one powerful tool. When setting up your CrewAI agent, you can pass the MCP server URL directly in the `mcps` list. This ensures this specific agent has access to the `validate_founder_vision` tool and nothing else. This enforces role-based specialization. Your 'Due Diligence' agent can be armed with the Founder Vision Prover, while your 'Communications' agent can't accidentally try to validate a business model. It keeps your autonomous crews focused and secure.
Set up Founder Vision Prover MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Founder Vision Prover tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Founder Vision Prover Analyst",
goal="Access and analyze Founder Vision Prover data via MCP.",
backstory="Expert analyst with direct Founder Vision Prover access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Founder Vision Prover transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Founder Vision Prover Analyst",
goal="Access and analyze Founder Vision Prover data via MCP.",
backstory="Expert analyst with direct Founder Vision Prover access.",
tools=mcp_tools,
)
task = Task(
description="List recent Founder Vision Prover transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Founder Vision Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Founder Vision Prover MCP in CrewAI
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