How to Use the crowd.dev (LFX CDP) MCP in CrewAI

Q: How do I pass crowd.dev (LFX CDP) tools to a CrewAI agent?

Pass the Vinkius HTTP URL directly in the agent's mcps array parameter. CrewAI handles the connection and exposes the tools to that specific agent.

Q: Can I limit which crowd.dev (LFX CDP) tools a CrewAI agent can use?

Yes. Use MCPServerHTTP from the crewai.mcp package and apply a tool filter to expose only specific tools, like limiting an agent to read-only actions.

Deploy specialized agent teams using CrewAI to manage your crowd.dev (LFX CDP) community.

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Connect crowd.dev (LFX CDP) MCP to CrewAI

Create your Vinkius account to connect crowd.dev (LFX CDP) 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.

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Setup crowd.dev (LFX CDP) with CrewAI

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Coordinate multi-agent community triage

The `list_recent_activities` tool retrieves recent community actions like GitHub stars, pull requests, and forum messages. Your CrewAI monitoring agent watches this feed to detect new engagements. Once a high-priority activity is detected, the monitor agent hands the data to an outreach agent. This second agent uses `get_member_details` to research the contributor's background and draft a personalized response.

Build company-level intelligence with CrewAI

The `list_organizations` tool lists all companies active in your developer community. A dedicated research agent in your crew uses this tool to identify which enterprise teams are using your open-source software. The research agent then passes these domains to an analysis agent, which calls `get_organization_details` to fetch firmographic data. This gives your sales team pre-qualified leads based on actual community activity.

Delegate community tasks via this MCP Server

The `list_community_tasks` tool acts as the central task queue for your automated crew. Your manager agent reviews open tasks and assigns them to specialized sub-agents based on priority. The crew works through the queue, updating internal notes with `list_member_notes` as they resolve issues. This allows your community operations to run continuously without human bottlenecks.

Setup guide

Set up crowd.dev (LFX CDP) 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 crowd.dev (LFX CDP) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent crowd.dev (LFX CDP) 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="crowd.dev (LFX CDP) Analyst",
        goal="Access and analyze crowd.dev (LFX CDP) data via MCP.",
        backstory="Expert analyst with direct crowd.dev (LFX CDP) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent crowd.dev (LFX CDP) 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 crowd.dev. 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 crowd.dev (LFX CDP) MCP in CrewAI

Pass the Vinkius HTTP URL directly in the agent's `mcps` array parameter. CrewAI handles the connection and exposes the tools to that specific agent.

Yes. Use `MCPServerHTTP` from the `crewai.mcp` package and apply a tool filter to expose only specific tools, like limiting an agent to read-only actions.

CrewAI's shared memory system allows agents to pass member details and activity histories to each other. One agent can fetch data with `get_member_details` and another can analyze it.

Yes. You can define a sequential process where Agent A gathers organization details and Agent B writes a summary report.

Yes. Vinkius runs the MCP Server in a secure V8 isolate sandbox. Your member emails, social profiles, and CRM notes are processed ephemerally and never saved.

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