Infinity MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Api Health, Create Board Item, Get Current User Profile, and more

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

GDPR Free for Subscribers

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

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The Infinity MCP Server for CrewAI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Infinity Specialist",
    goal="Help users interact with Infinity effectively",
    backstory=(
        "You are an expert at leveraging Infinity 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 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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* 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 MCP Server

Connect your Infinity account to any AI agent and manage projects through natural conversation.

When paired with CrewAI, Infinity becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Infinity 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

Workspace Management — List all workspaces in your organization
Board Navigation — Browse boards within workspaces and inspect their structure
Folder Organization — Navigate folder hierarchies within boards
Attribute Schema — View all custom attributes and fields configured on boards
Item Management — List, create, update, and delete items (tasks/records) within boards
Data Access — Read item field values and metadata

The Infinity MCP Server exposes 12 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 12 Infinity tools available for CrewAI

When CrewAI connects to Infinity through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, workspace-organization, custom-attributes, 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.

check

Check api health on Infinity

Verify Infinity API connectivity

create

Create board item on Infinity

Values must map to attribute IDs. Add a new item to a board

get

Get current user profile on Infinity

Get authenticated user info

list

List board attributes on Infinity

List board attributes (fields)

list

List board folders on Infinity

List folders in a board

list

List board items on Infinity

Supports filtering by folder. List all tasks/items in a board

list

List board webhooks on Infinity

List active webhooks for a board

list

List item comments on Infinity

List comments on an item

list

List workspace boards on Infinity

List boards in a workspace

list

List workspaces on Infinity

List all workspaces

remove

Remove board item on Infinity

Delete an item from a board

update

Update board item on Infinity

Modify an existing item

Connect Infinity to CrewAI via MCP

Follow these steps to wire Infinity 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 12 tools from Infinity

Why Use CrewAI with the Infinity MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Infinity 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 + CrewAI Use Cases

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

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

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

Example Prompts for Infinity in CrewAI

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

"Show all workspaces and the boards in the 'Product Development' workspace."

"Create a new task in the Sprint Board and list all items with 'In Progress' status."

"Show the attributes on the Bug Tracker board and the folder structure."

Troubleshooting Infinity MCP Server with CrewAI

Common issues when connecting Infinity 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.

Infinity + CrewAI FAQ

Common questions about integrating Infinity 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.