Can I check the status of a specific presentation using the agent?

Yes! Use the `list_presentations` tool. Your agent will fetch all sessions, allowing you to see if a presentation is 'Approved', 'Pending', or in another state in the Harvester.

How do I list all the speakers for my conference?

Simply ask the agent to `list_presenters`. It will retrieve the list of all speakers registered for your event in Cadmium, including their names and unique IDs.

Does the integration allow accessing presentation handouts?

Yes. Use the `list_presentation_assets` tool with the Presentation ID. It will retrieve all the associated files, including handouts, slides, and other media uploaded by the speaker.

Cadmium Harvester MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Cadmium Harvester
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Cadmium Harvester through Vinkius, pass the Edge URL in the `mcps` parameter and every Cadmium Harvester 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

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cadmium Harvester Specialist",
    goal="Help users interact with Cadmium Harvester effectively",
    backstory=(
        "You are an expert at leveraging Cadmium Harvester 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 Cadmium Harvester "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

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

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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 Cadmium Harvester MCP Server

Connect your Cadmium Education Harvester account to any AI agent and orchestrate your event content management, speaker coordination, and presentation tracking through natural conversation.

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

Presentation Oversight — List all presentations for an event and retrieve detailed metadata, including titles, IDs, and statuses.
Speaker Management — List all presenters and retrieve detailed profiles, including contact info and association with sessions.
Asset Tracking — List and access files, handouts, and presentation assets associated with individual sessions.
Event Coordination — Retrieve core event details and settings straight from your workspace.
Content Auditing — Monitor presentation counts and update information to ensure your event schedule is accurate.
Data Deep Dives — Get detailed data for specific presenter or presentation IDs using natural language.

The Cadmium Harvester MCP Server exposes 7 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 Cadmium Harvester to CrewAI via MCP

Follow these steps to integrate the Cadmium Harvester 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 7 tools from Cadmium Harvester

Why Use CrewAI with the Cadmium Harvester MCP Server

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

Cadmium Harvester + CrewAI Use Cases

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

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

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

Cadmium Harvester MCP Tools for CrewAI (7)

These 7 tools become available when you connect Cadmium Harvester to CrewAI via MCP:

get_account_info

Retrieve core account information

get_event_details

Retrieve core event information

get_presentation_count

Get total number of presentations

get_presenter_details

Get details of a specific presenter

list_presentation_assets

List files and assets associated with a presentation

list_presentations

List all presentations for the event

list_presenters

List all presenters/speakers for the event

Example Prompts for Cadmium Harvester in CrewAI

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

"List all presentations for the current event in Cadmium."

"Show the profile for presenter with ID speaker_99283."

"List the assets associated with presentation pres_123."

Troubleshooting Cadmium Harvester MCP Server with CrewAI

Common issues when connecting Cadmium Harvester 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.

Cadmium Harvester + CrewAI FAQ

Common questions about integrating Cadmium Harvester 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.