How do I find my Geekbot API Key?

Log in to your Geekbot dashboard, navigate to **Settings** > **Developers**, and copy your unique API Key.

Can I filter standup reports by user?

Yes! The `list_standup_reports` tool accepts a `user_id` parameter to retrieve responses for a specific team member.

How do I get a member's User ID?

Use the `list_team_members` tool to retrieve a directory of everyone in your workspace along with their unique Geekbot IDs.

INSTANT PLUG AND PLAY

Geekbot MCP Server for CrewAIGive CrewAI instant access to 6 tools to Get Standup Details, Get User Profile, List Standup Reports, and more

Name: Geekbot
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Geekbot app connector for CrewAI is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Geekbot Specialist",
    goal="Help users interact with Geekbot effectively",
    backstory=(
        "You are an expert at leveraging Geekbot 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 Geekbot "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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About Geekbot MCP Server

Connect your Geekbot account to any AI agent and take full control of your team's standups, surveys, and reporting workflows through natural conversation.

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

Standup Orchestration — List and retrieve detailed metadata for all configured standups and polls in your workspace programmatically
Report Intelligence — Monitor user responses in real-time and retrieve complete answer histories for analysis and sentiment tracking
Report Automation — Programmatically submit standup reports on behalf of users or fetch granular data for specific time periods
Team Visibility — Access your complete workspace directory to manage member roles and understand team-wide participation
Activity Monitoring — Check account status and individual user profiles directly through your agent for instant team reporting

The Geekbot MCP Server exposes 6 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.

All 6 Geekbot tools available for CrewAI

When CrewAI connects to Geekbot through Vinkius, your AI agent gets direct access to every tool listed below — spanning asynchronous-standup, team-check-ins, surveys, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_standup_details

Get metadata for a standup

get_user_profile

Check account connection

list_standup_reports

Can filter by date or user. List submitted reports

list_standups

List your Geekbot standups

list_team_members

List workspace members

submit_standup_report

Programmatically submit a report

Connect Geekbot to CrewAI via MCP

Follow these steps to wire Geekbot into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the 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 6 tools from Geekbot

Why Use CrewAI with the Geekbot MCP Server

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

Geekbot + CrewAI Use Cases

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

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

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

Example Prompts for Geekbot in CrewAI

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

"List all active standups in my Geekbot account."

"Show me the reports for 'Daily Standup' from the last 24 hours."

"List all members in our Geekbot workspace."

Troubleshooting Geekbot MCP Server with CrewAI

Common issues when connecting Geekbot 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.

Geekbot + CrewAI FAQ

Common questions about integrating Geekbot 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.