Can I check which users belong to a specific collaboration space?

Yes. The `get_space_details` tool allows your AI agent to retrieve the membership count and configuration for any specific space ID, helping you monitor team alignment directly through chat.

How do I see the contact details for a colleague using chat?

You can use the `get_employee_profile` tool. Simply provide the unique employee ID, and your agent will return their full profile details, including email, job title, and department information.

Can I post an announcement to the global activity feed via chat?

Absolutely. Use the `create_social_post` tool and provide your update text. If you don't specify a space ID, the post will be shared to the main company activity feed, making it visible to all users.

Workvivo MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Workvivo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Workvivo through the Vinkius — pass the Edge URL in the `mcps` parameter and every Workvivo 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="Workvivo Specialist",
    goal="Help users interact with Workvivo effectively",
    backstory=(
        "You are an expert at leveraging Workvivo 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 Workvivo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 Workvivo MCP Server

Connect your Workvivo account to any AI agent and manage your employee experience infrastructure through natural conversation.

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

What you can do

Social Feed — Browse the company activity feed, retrieve full details for specific posts (likes, comments), and share new updates instantly
Employee Directory — List all registered employees and retrieve comprehensive profile details including contact info and job titles
Collaboration Spaces — Browse interest groups and departmental spaces, retrieve membership counts, and post updates to specific spaces
Company Events — Monitor the company calendar, retrieve details for upcoming events including location and start times
Content Insights — Quickly find unique post, employee, space, and event IDs required for automated internal communication workflows
Team Engagement — Analyze activity levels and browse social interactions across the platform directly from your agent
Data Integrity — Safely delete unfinalized or obsolete social posts through simple chat commands

The Workvivo MCP Server exposes 10 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 Workvivo to CrewAI via MCP

Follow these steps to integrate the Workvivo 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 10 tools from Workvivo

Why Use CrewAI with the Workvivo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Workvivo 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 the 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

Workvivo + CrewAI Use Cases

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

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

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

Workvivo MCP Tools for CrewAI (10)

These 10 tools become available when you connect Workvivo to CrewAI via MCP:

create_social_post

Provide the text content and an optional space ID. Creates a new post on the Workvivo activity feed

delete_social_post

This action is irreversible. Permanently deletes a post from Workvivo

get_employee_profile

Retrieves profile details for a specific employee

get_event_details

Retrieves details for a specific calendar event

get_post_details

Retrieves details for a specific social post

get_space_details

Retrieves details for a specific collaboration space

list_collaboration_spaces

Lists collaboration spaces (groups) in Workvivo

list_company_events

Lists upcoming events scheduled in Workvivo

list_employees

Lists employees registered in the Workvivo directory

list_workvivo_posts

Lists social posts and activity on the Workvivo platform

Example Prompts for Workvivo in CrewAI

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

"List the last 5 posts on the company feed."

"Find the profile for employee ID 'emp-123'."

"What are the details for the 'Town Hall' event today?"

Troubleshooting Workvivo MCP Server with CrewAI

Common issues when connecting Workvivo 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

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

Workvivo + CrewAI FAQ

Common questions about integrating Workvivo 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.