Zeev MCP Server for CrewAIGive CrewAI instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more

Name: Zeev
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Zeev through Vinkius, pass the Edge URL in the `mcps` parameter and every Zeev tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Zeev MCP Server for CrewAI is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Zeev Specialist",
    goal="Help users interact with Zeev effectively",
    backstory=(
        "You are an expert at leveraging Zeev tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Zeev "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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About Zeev MCP Server

What you can do

List and manage your pending tasks in real-time.
Start new process requests with custom form data.
Complete tasks and make decisions directly from your AI agent.
Delegate tasks to other team members and track process history.

Who is it for?

Process managers looking for automated workflow control.
Operations teams needing quick task execution.
Developers integrating BPM into their AI-driven applications.

When paired with CrewAI, Zeev becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Zeev tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Zeev tools available for CrewAI

When CrewAI connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel request on Zeev

Cancel an active process request

create

Create request on Zeev

Start a new process request in Zeev

delegate

Delegate task on Zeev

Delegate a task to another user

finish

Finish task on Zeev

Finish/Complete a Zeev task

get

Get me on Zeev

Get current user information

get

Get process on Zeev

Get details of a process definition

get

Get request on Zeev

Get details of a specific process request

get

Get task on Zeev

Get details of a specific Zeev task

list

List processes on Zeev

List available process definitions

list

List requests on Zeev

List process requests (instances) in Zeev

list

List tasks on Zeev

List pending tasks in Zeev

Connect Zeev to CrewAI via MCP

Follow these steps to wire Zeev into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Zeev

Why Use CrewAI with the Zeev MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Zeev through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Zeev + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Zeev MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Zeev for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Zeev, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Zeev tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Zeev against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Zeev in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Zeev immediately.

"List my pending tasks in Zeev."

"Finish task 123 with decision 'Approved'."

"Start a new 'Expense Report' process."

Troubleshooting Zeev MCP Server with CrewAI

Common issues when connecting Zeev to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Zeev + CrewAI FAQ

Common questions about integrating Zeev MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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