How to Use the Erply ERP & POS MCP in CrewAI

Q: How do I configure Erply ERP & POS for a CrewAI agent?

Pass the endpoint into the mcps array on the agent definition. For advanced setups, use MCPServerHTTP.

Q: Can I limit which Erply ERP & POS tools my CrewAI agents access?

Import MCPServerHTTP from crewai.mcp and apply a toolfilter to restrict access to specific endpoints.

Q: How do multiple CrewAI agents share Erply ERP & POS data?

They rely on shared memory. One agent runs listcrmcustomers and the subsequent agent reads that exact output.

Q: What dependencies do I need to install?

Run pip install crewai "crewaitools" to get the required packages for the connection.

Q: How is my product catalog protected from leaks?

The server reads pricing and specs via getproductdetaileddata. Authentication is handled externally, and the connection runs strictly on an ephemeral basis with no persistent logging.

Deploy autonomous agent crews to monitor Erply retail operations with CrewAI.

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Connect Erply ERP & POS MCP to CrewAI

Create your Vinkius account to connect Erply ERP & POS 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 Erply ERP & POS with CrewAI

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Perplexity

Assign inventory tasks via MCP

Feed your supply chain agent with `list_inventory_stock_levels` and `list_retail_products`. The agent scans the catalog and checks quantities autonomously. A secondary monitor agent watches the session. If stock drops too fast, it alerts the moderator agent to initiate a reorder sequence.

Analyze transactions hierarchically

Let your finance crew review daily invoices using `list_latest_sales_transactions` and `list_sales_documents`. The researcher agent pulls the raw logs directly from the API. The analyst agent then processes those documents to spot trends. CrewAI shares memory across the team, meaning the analyst knows exactly what the researcher found.

Run autonomous performance audits

Verify account permissions and generate a system overview with `quick_retail_performance_audit` and `get_erply_user_metadata`. The MCP Server handles the data formatting. Pass the URL directly into your CrewAI configuration using `mcps=["https://..."]`. The crew handles the scheduling and execution without human oversight.

Setup guide

Set up Erply ERP & POS 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 Erply ERP & POS tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Erply ERP & POS 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="Erply ERP & POS Analyst",
        goal="Access and analyze Erply ERP & POS data via MCP.",
        backstory="Expert analyst with direct Erply ERP & POS access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Erply ERP & POS 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 Erply ERP & POS. 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 Erply ERP & POS MCP in CrewAI

Pass the endpoint into the `mcps` array on the agent definition. For advanced setups, use `MCPServerHTTP`.

Import `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter` to restrict access to specific endpoints.

They rely on shared memory. One agent runs `list_crm_customers` and the subsequent agent reads that exact output.

Run `pip install crewai "crewai[tools]"` to get the required packages for the connection.

The server reads pricing and specs via `get_product_detailed_data`. Authentication is handled externally, and the connection runs strictly on an ephemeral basis with no persistent logging.

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