How to Use the Yida MCP in CrewAI

Q: How do I get record details using Yida and CrewAI?

Assign an agent the task of retrieving data. It will use getrecorddetails to pull all necessary information for its analysis, treating the result as shared memory for other agents.

Q: Can I monitor workflow changes with Yida and CrewAI?

Yes. The getinstancetimeline tool provides a complete audit log of any workflow instance. A dedicated monitoring agent can watch this timeline to detect deviations from the expected path.

Q: Does Yida support listing forms for autonomous operations with CrewAI?

Absolutely. The listforms tool lets your crew discover all available forms, allowing them to dynamically decide which form is relevant for a given business task.

Q: If I need to delete data in Yida using CrewAI, what steps should I take?

First, confirm the ID via listdataids. Then, have an agent execute deleterecord. Because it's autonomous, you must build a confirmation step into the crew's workflow before deletion occurs.

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Connect Yida MCP to CrewAI

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Setup Yida with CrewAI

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Perplexity

Autonomous Record Management

Give a specialized agent the ability to handle records. The `create_record` tool allows one agent to write data, while another can monitor and then use `update_record` later if conditions change. This multi-agent approach means you don't just run a sequence; you build an operation where agents collaborate on state changes.

Schema Discovery for Multi-Agent Roles

You can assign one agent the role of 'Data Analyst.' Its first job is to call `get_form_schema` so it knows what data structure it's dealing with. Other agents then use that schema knowledge to perform actions. It eliminates assumptions. The system knows exactly how to interpret and build records because the MCP Server provided the field definitions.

Comprehensive Application Mapping

Need a full picture? Use `list_workflows` and `list_forms` together. One agent can map out all available business processes, while another agent uses `list_users` to identify who owns those workflows. This gives your autonomous crew the complete context needed to execute complex operations without human intervention.

Setup guide

Set up Yida 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 Yida tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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

    task = Task(
        description="List recent Yida 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 Yida. 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 Yida MCP in CrewAI

Assign an agent the task of retrieving data. It will use `get_record_details` to pull all necessary information for its analysis, treating the result as shared memory for other agents.

Yes. The `get_instance_timeline` tool provides a complete audit log of any workflow instance. A dedicated monitoring agent can watch this timeline to detect deviations from the expected path.

This server touches form records and workflow instance data. When using CrewAI, always ensure that your agents are role-limited; don't let an agent with read access gain write access via `create_record`.

Absolutely. The `list_forms` tool lets your crew discover all available forms, allowing them to dynamically decide which form is relevant for a given business task.

First, confirm the ID via `list_data_ids`. Then, have an agent execute `delete_record`. Because it's autonomous, you must build a confirmation step into the crew's workflow before deletion occurs.

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