How to Use the Xiaoshouyi / Neocrm MCP in CrewAI

Q: Can I manage users and roles for Xiaoshouyi / Neocrm using CrewAI?

Absolutely. An agent can use listusers to pull all user records, and another agent can then compare that data against required role definitions to flag compliance gaps.

Q: How does the MCP Server assist in listing CRM accounts with CrewAI?

You simply expose the listaccounts tool. The crew uses this tool result as a primary dataset, allowing multiple specialized agents to analyze and act upon every single account record.

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Connect Xiaoshouyi / Neocrm MCP to CrewAI

Create your Vinkius account to connect Xiaoshouyi / Neocrm 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 Xiaoshouyi / Neocrm with CrewAI

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Autonomous Lead Generation in Xiaoshouyi / Neocrm

A specialized agent can research new prospects and then use the `create_lead` tool to populate your system. This process runs without human intervention, simulating a full sales cycle. The crew structure allows one agent to gather data (e.g., company name) and pass that specific context to another agent which executes the actual record creation.

Managing Sales Opportunities via MCP Server

The team can monitor existing sales opportunities using `list_opportunities`. An analysis agent might flag an opportunity as 'stalled,' and a moderator agent then takes action, like generating a task or notifying a manager. This hierarchical execution means one agent's findings directly trigger the next agent's action, creating a true automated pipeline.

Systematic User and Account Audits in Xiaoshouyi / Neocrm

You can assign an audit agent to run `list_users` and another to run `list_accounts`. The specialized agents then compare the lists, identifying discrepancies or inactive accounts that need review. The shared memory feature ensures that every agent knows exactly what other agents have found so far, preventing redundant checks.

Setup guide

Set up Xiaoshouyi / Neocrm 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 Xiaoshouyi / Neocrm tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Xiaoshouyi / Neocrm 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="Xiaoshouyi / Neocrm Analyst",
        goal="Access and analyze Xiaoshouyi / Neocrm data via MCP.",
        backstory="Expert analyst with direct Xiaoshouyi / Neocrm access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Xiaoshouyi / Neocrm 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 Xiaoshouyi / Neocrm. 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 Xiaoshouyi / Neocrm MCP in CrewAI

You set up a crew where an 'Outreach Agent' gathers target data and passes it to the 'CRM Agent.' The CRM agent then uses `create_lead` to execute the action autonomously.

Yes. You can build a workflow where an initial check of tasks (`list_tasks`) triggers multiple subsequent actions, such as creating follow-up opportunities or assigning new users.

This server touches lead, contact, opportunity, account, user, and task records. The crew works across all these domains to keep your CRM operational without needing a human in the loop.

Absolutely. An agent can use `list_users` to pull all user records, and another agent can then compare that data against required role definitions to flag compliance gaps.

You simply expose the `list_accounts` tool. The crew uses this tool result as a primary dataset, allowing multiple specialized agents to analyze and act upon every single account record.

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