How to Use the Kingdee / 金蝶 MCP in CrewAI

Q: How do I add the Kingdee / 金蝶 MCP Server to a CrewAI agent?

Pass your Vinkius server URL directly into the agent's mcps array parameter. This exposes tools like querydata and saveform to that specific agent instantly.

Q: Can I restrict which CrewAI agents can access the Kingdee / 金蝶 MCP Server?

Yes. Use MCPServerHTTP from crewai.mcp with a toolfilter to only expose querydata to your research agents while keeping auditform restricted to your auditor agent.

Deploy specialized AI agent teams to manage your Kingdee / 金蝶 ERP ledgers using CrewAI.

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Connect Kingdee / 金蝶 MCP to CrewAI

Create your Vinkius account to connect Kingdee / 金蝶 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 Kingdee / 金蝶 with CrewAI

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Perplexity

Collaborative procurement processing

The `list_forms` tool allows your research agent to scan the ERP for pending material requisitions. Once found, a separate analyzer agent uses `view_form` to inspect the line items and verify inventory levels before taking action. This multi-agent setup ensures thorough verification before any data gets modified. By dividing the work, you prevent single-agent hallucinations from corrupting your enterprise ledger.

Autonomous audit execution in CrewAI

The `audit_form` tool is assigned exclusively to your financial auditor agent, who verifies the document against corporate policy. If the form passes all checks, the auditor executes the tool to lock in the transaction. If the auditor agent finds discrepancies, it delegates the task to a resolution agent. The resolution agent then runs `status_convert` or `delete_form` to clean up the rejected records.

Enterprise-grade data queries

The `query_data` tool gives your reporting crew direct access to ERP tables for real-time analysis. Your agents can query raw table data, parse the results, and generate executive summaries without human intervention. This MCP Server integration handles the underlying API pagination and schema mapping. Your CrewAI agents receive clean JSON payloads, allowing them to focus on analyzing trends rather than parsing raw strings.

Setup guide

Set up Kingdee / 金蝶 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 Kingdee / 金蝶 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Kingdee / 金蝶 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 Kingdee / 金蝶. 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 Kingdee / 金蝶 MCP in CrewAI

Pass your Vinkius server URL directly into the agent's `mcps` array parameter. This exposes tools like `query_data` and `save_form` to that specific agent instantly.

Yes. Use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter` to only expose `query_data` to your research agents while keeping `audit_form` restricted to your auditor agent.

The Vinkius managed server handles rate limiting and connection pooling. Your agents can execute multiple calls to `list_forms` or `view_form` without overloading your ERP backend.

Yes. You can define a sequential crew where the first agent runs `save_form` and the second agent runs `submit_form` once the first task completes successfully.

The MCP connection runs through a secure, ephemeral V8 sandbox on Vinkius. Your sensitive financial ledgers and material records are never cached, logged, or exposed to the public internet.

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