Can I give a bonus to a colleague using the agent?

Yes! Use the `give_bonus` tool with the recipient's email, the amount of points, and a reason including hashtags like #teamwork. Your agent will post the recognition to Bonusly instantly.

How do I check my current point balance?

Simply ask the agent to `get_my_profile`. It will retrieve your personal Bonusly profile, showing your available giving and receiving point balances.

Can I see who the top recognized employees are?

Yes. Use the `get_leaderboard` tool to retrieve the current recognition rankings, showing the top givers and receivers in your organization.

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

Name: Bonusly
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Bonusly through Vinkius, pass the Edge URL in the `mcps` parameter and every Bonusly 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="Bonusly Specialist",
    goal="Help users interact with Bonusly effectively",
    backstory=(
        "You are an expert at leveraging Bonusly 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 Bonusly "
        "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 Bonusly MCP Server

Connect your Bonusly employee recognition account to any AI agent and orchestrate your team culture and reward workflows through natural conversation.

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

Peer Recognition — Instantly give bonuses to colleagues with custom reasons and hashtags representing company values.
Bonus Oversight — List recent bonuses and retrieve detailed information for specific recognition events.
User & Profile Management — Access employee profiles and check your own point balance and history.
Reward Tracking — Monitor recent redemptions to see how your team is spending their earned points.
Culture Insights — List company values, popular hashtags, and view the real-time recognition leaderboard.

The Bonusly 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 Bonusly to CrewAI via MCP

Follow these steps to integrate the Bonusly 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 Bonusly

Why Use CrewAI with the Bonusly MCP Server

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

Bonusly + CrewAI Use Cases

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

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

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

Bonusly MCP Tools for CrewAI (10)

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

get_bonus

Get details of a specific bonus

get_leaderboard

Get the recognition leaderboard

get_my_profile

Get the profile of the authenticated user

get_user

Get profile details for an employee

give_bonus

Give a recognition bonus to an employee

list_bonuses

List recent employee bonuses

list_company_values

List company values and hashtags

list_hashtags

List popular hashtags

list_redemptions

List recent reward redemptions

list_users

List all employees

Example Prompts for Bonusly in CrewAI

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

"Give +10 to sarah@example.com for helping with the client presentation #teamwork."

"What is my current Bonusly balance?"

"Show the recent bonuses in the company."

Troubleshooting Bonusly MCP Server with CrewAI

Common issues when connecting Bonusly 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.

Bonusly + CrewAI FAQ

Common questions about integrating Bonusly 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.