How do I get my Infinity Access Token?

Log in to Infinity, go to Profile > Developer Features, enable developer mode, and generate an Access Token in the Developer section.

Can I create items with custom attributes?

Yes! Use the create_item action with a JSON body that includes the item name and attribute values matching your board configuration.

Can I add comments to items?

Yes! Use the create_comment action with the workspace, board, and item IDs along with the comment content.

Can I manage multiple workspaces?

Yes! You can list all your accessible workspaces and manage boards, folders, and items within each specific workspace.

Infinity Work Manager MCP Server for CrewAI 15 tools — connect in under 2 minutes

Name: Infinity Work Manager
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 15 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Infinity Work Manager Specialist",
    goal="Help users interact with Infinity Work Manager effectively",
    backstory=(
        "You are an expert at leveraging Infinity Work Manager 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 Infinity Work Manager "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 15 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Infinity Work Manager MCP Server

Connect Infinity to any AI agent and manage your work management platform — create and update items, manage boards, add comments, organize folders, and track project progress through natural conversation.

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

What you can do

Workspaces & Boards — List and create workspaces and boards for organizing work
Item Management — Create, update, and delete items with custom attribute values
Comments — Add and retrieve comments on any item for collaboration
Folders — Organize items into folders within boards
Attributes — View board attribute configurations for custom fields
Profile — Get authenticated user profile information

The Infinity Work Manager MCP Server exposes 15 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Infinity Work Manager to CrewAI via MCP

Follow these steps to integrate the Infinity Work Manager MCP Server with CrewAI.

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 15 tools from Infinity Work Manager

Why Use CrewAI with the Infinity Work Manager MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Infinity Work Manager 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

Infinity Work Manager + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Infinity Work Manager MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Infinity Work Manager 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 Infinity Work Manager, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Infinity Work Manager 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 Infinity Work Manager against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Infinity Work Manager MCP Tools for CrewAI (15)

These 15 tools become available when you connect Infinity Work Manager to CrewAI via MCP:

create_board

Body should include name and optional settings. Create a new board in a workspace

create_comment

Body should include content. Add a comment to an item

create_folder

Create a new folder in a board

create_item

Body should include name and attribute values. Create a new item in a board

delete_item

Delete an item from a board

get_board

Get details of a specific board

get_item

Get details of a specific item

get_profile

Use this to verify connection and identify your user ID. Get the authenticated user profile

list_attributes

List attributes configured on a board

list_boards

Use board IDs to query items, folders, and attributes. List all boards in a workspace

list_comments

List comments on an item

list_folders

List folders in a board

list_items

Supports pagination via cursor. List all items in a board

list_workspaces

Use workspace IDs to query boards and items within specific workspaces. List all workspaces accessible to the user

update_item

Update an existing item in a board

Example Prompts for Infinity Work Manager in CrewAI

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

"Show me all workspaces I have access to."

"List all items in board 123 of workspace 456."

"Create a new item called 'Sprint Planning' in board 123 with status 'In Progress'."

Troubleshooting Infinity Work Manager MCP Server with CrewAI

Common issues when connecting Infinity Work Manager to CrewAI through the 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.

Infinity Work Manager + CrewAI FAQ

Common questions about integrating Infinity Work Manager 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.