How to Use the DecileHub MCP in CrewAI

Q: How do I connect DecileHub to CrewAI?

Install crewaitools and pass your Vinkius URL directly into the mcps parameter of your Agent setup. The framework connects automatically via standard HTTP.

Q: Can I restrict which DecileHub tools a CrewAI agent uses?

Use the toolfilter argument within MCPServerHTTP. This prevents a junior researcher agent from accessing sensitive fund performance metrics.

Deploy specialized multi-agent teams in CrewAI to analyze venture portfolios and LP structures with this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DecileHub MCP to CrewAI

Create your Vinkius account to connect DecileHub 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.

GDPR Free for Subscribers

Setup DecileHub with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

CrewAI agents analyzing portfolios

`list_portfolio_companies` and `list_valuations` equip your analyst agents with raw private market data. You assign one agent to gather the cap tables while a senior analyst agent calculates the markup trends. They share memory, so the second agent knows exactly what the first one found without redundant API calls. Setting this up requires passing the Vinkius URL into the `mcps` array of your agent definition. The Python framework handles the HTTP transport natively, letting your crew start working immediately.

Automate investor communications

`list_investors` and `get_investor` serve as the foundation for an autonomous investor relations crew. A researcher agent pulls the limited partner profiles, and a communications agent drafts personalized quarterly updates. You manage the execution hierarchically, putting a manager agent in charge of reviewing the final drafts. Filtering operations keeps your agents focused. You use `MCPServerHTTP` with a `tool_filter` so the communications agent only sees investor data, preventing it from accidentally querying unrelated fund metrics.

Delegate regulatory audits

`list_filings` and `get_filing_report` let your compliance crew monitor legal documents around the clock. An auditor agent reads the latest filings, extracting risk factors and flagging them for a moderator agent. This sequential process ensures no regulatory detail slips through the cracks. `check_decilehub_status` acts as a perfect health check for your monitor agent. It verifies connectivity before the heavy analysis begins, saving tokens and preventing cascading failures across the MCP Server.

Setup guide

Set up DecileHub MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke DecileHub tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="DecileHub Analyst",
    goal="Access and analyze DecileHub data via MCP.",
    backstory="Expert analyst with direct DecileHub access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent DecileHub transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="DecileHub Analyst",
        goal="Access and analyze DecileHub data via MCP.",
        backstory="Expert analyst with direct DecileHub access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DecileHub transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Decile Hub. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DecileHub now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DecileHub MCP in CrewAI

Install `crewai[tools]` and pass your Vinkius URL directly into the `mcps` parameter of your Agent setup. The framework connects automatically via standard HTTP.

Use the `tool_filter` argument within `MCPServerHTTP`. This prevents a junior researcher agent from accessing sensitive fund performance metrics.

Agents collaborating on a task share context. If the first agent pulls a list of filings, the second agent can analyze them without hitting the endpoint again.

Use a hierarchical structure for complex tasks. Assign an analyst to pull company valuations and a manager to review the final investment memo.

Your regulatory documents and portfolio markups run through a V8 Isolate Sandbox. Vinkius tears down the instance the moment your crew finishes the task, leaving zero trace.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript