Bring Meeting Minutes
to CrewAI
Learn how to connect Magic Minutes to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Magic Minutes MCP Server?
Connect your Magic Minutes account to any AI agent and take full control of your meeting orchestration and team productivity through natural conversation. Magic Minutes provides a comprehensive platform for organizing meetings, and this integration allows you to retrieve meeting metadata, manage action items (tasks), and oversee minutes directly from your chat interface.
What you can do
- Meeting & Agenda Orchestration — List all managed meetings and retrieve detailed metadata programmatically to ensure your team's schedule is always synchronized.
- Task & Action Lifecycle Management — Create, update, and monitor meeting action items directly from the AI interface to maintain high-fidelity task execution.
- Minutes & Summary Intelligence — Access and monitor meeting attributes and retrieve detailed attendee metadata via natural language to drive better collaboration.
- Folder & Structure Control — List and oversee your meeting folders and organization metadata using simple AI commands.
- Operational Monitoring — Track system responses and manage contact metadata to ensure your meeting workflows are always optimized.
How it works
1. Subscribe to this server
2. Enter your Magic Minutes API Key from your account settings
3. Start managing your meetings from Claude, Cursor, or any MCP-compatible client
No more manual searching for meeting notes in your inbox. Your AI acts as a dedicated meeting coordinator or administrative assistant.
Who is this for?
- Project Managers & Leads — quickly retrieve meeting summaries and monitor task progress without switching apps.
- Executive Assistants — automate the retrieval of attendee metadata and track action item assignments via natural conversation.
- Operations Managers — streamline the retrieval of meeting folder metadata and monitor organizational productivity directly within the chat.
Built-in capabilities (12)
Check API health status
Create a new task
Get authenticated user profile
Get details for a specific meeting
Retrieve the minutes or agenda of a meeting
Get details for a specific task
List all contacts
List folders and structure
List attendees for a meeting
List all meetings
List all tasks and action items
List active webhooks
Why CrewAI?
When paired with CrewAI, Magic Minutes becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Magic Minutes tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Magic Minutes in CrewAI
Magic Minutes and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Magic Minutes to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Magic Minutes in CrewAI
The Magic Minutes 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Magic Minutes for CrewAI
Every tool call from CrewAI to the Magic Minutes MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the details for a specific meeting by its ID?
Yes! Use the get_meeting tool with the Meeting ID. Your agent will respond with complete metadata for the record, including the agenda and start time in seconds.
How do I find my Magic Minutes API Key?
Log in to your Magic Minutes account at magicminutes.co.uk, navigate to Settings > API, and you will find your unique secret token there.
Does it support task management?
Yes, use the list_tasks tool to retrieve all action items generated during your meetings, allowing the AI to track team assignments.
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.
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.
