Bring Task Management
to CrewAI
Learn how to connect Todoist 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 Todoist MCP Server?
Connect your Todoist account to any AI agent and simplify how you organize your life and work through natural conversation.
What you can do
- Task Control — Create, update, and complete tasks with full support for due dates, priorities, and descriptions.
- Project Oversight — List all your projects and manage sections to keep your workflows structured.
- Smart Filtering — Query your tasks using Todoist's powerful filter syntax (e.g., 'today', 'p1') via AI.
- Categorization — List and manage labels to tag your tasks across different projects.
- Collaboration — List comments on tasks and projects to track discussions and notes.
- Workspace Maintenance — Reopen completed tasks or fetch detailed metadata for specific to-do items.
How it works
1. Subscribe to this server
2. Enter your Todoist API Personal Access Token (found in your developer settings)
3. Start managing your to-do list from Claude, Cursor, or any MCP client
Who is this for?
- Busy Professionals — quickly add tasks and check your daily schedule via simple AI commands.
- Project Managers — monitor project progress and verify task statuses across different boards directly from the workspace.
- Organized Individuals — keep your life in sync by letting your AI assistant help you prioritize what truly matters.
Built-in capabilities (12)
Mark a task as finished
Create a new project
Add a new to-do item
Get metadata for a project
Get details for a specific task
Can filter by project, label, or filter. List active tasks
List your personal labels
List comments for a task or project
List sections within a project
List your Todoist projects
Mark a closed task as active
Modify an existing task
Why CrewAI?
When paired with CrewAI, Todoist becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Todoist 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
Todoist in CrewAI
Todoist and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Todoist 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 Todoist in CrewAI
The Todoist 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
Todoist for CrewAI
Every tool call from CrewAI to the Todoist MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I filter tasks for today using the AI?
Yes! Use the list_active_tasks tool and provide the filter parameter set to 'today'. Your agent will retrieve all tasks scheduled for the current date.
How do I add a new task to a specific project?
Use the create_task tool. Provide the content and the unique Project ID. You can also include a due_string like 'tomorrow at 10am' to set a deadline.
Is it possible to list all my labels via AI?
Absolutely. Run the list_all_labels query. The agent will retrieve the complete directory of labels you use to categorize tasks in your account.
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.