Compatible with every major AI agent and IDE
What is the Ellie Planner MCP Server?
Connect your Ellie Planner account to any AI agent and take full control of your daily productivity and time-blocking workflows through natural conversation.
What you can do
- Task Orchestration — Create and manage daily tasks and Brain Dump items programmatically, including retrieving detailed metadata and status
- Productivity Lifecycle — Track your progress by marking tasks as completed and updating priorities or dates directly through your agent
- Categorical Intelligence — Organize your tasks using account-wide labels and custom lists to maintain a high-fidelity productivity structure
- Workflow Automation — Programmatically update or delete tasks to keep your daily plan aligned with your real-time priorities
- Dashboard Visibility — Access your complete directory of task lists and labels to ensure every thought is perfectly categorized
How it works
- Subscribe to this server
- Retrieve your API Token from Ellie Planner settings (Enable 'Toggle power features')
- Start managing your daily productivity from Claude, Cursor, or any MCP client
No more manual toggling between browser tabs to check your todo list. Your AI acts as your dedicated personal assistant and productivity coordinator.
Who is this for?
- Productivity Enthusiasts — instantly register new ideas into your brain dump and organize your day using natural language
- Busy Professionals — update task statuses and check-in on daily goals without leaving your creative workspace
- Developers — integrate personal task management and time-blocking into custom internal tools through simple AI queries
Built-in capabilities (8)
Mark a task as completed
Provide title and optionally date/labels. Create a new task
Delete a task
Get details of a specific task
List all task labels
List all task lists
List all tasks
Update an existing task
Why CrewAI?
When paired with CrewAI, Ellie Planner becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Ellie Planner tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Ellie Planner in CrewAI
Ellie Planner and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Ellie Planner 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 | 4,000+ 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 Ellie Planner in CrewAI
The Ellie Planner 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 8 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
Ellie Planner for CrewAI
Every tool call from CrewAI to the Ellie Planner MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my API Token?
Log in to your account, go to Settings, enable the 'Toggle power features' option, and you will see the API Token field.
Is a Pro plan required?
Yes, API access and automation features are exclusively available for Ellie Planner Pro subscribers.
Can the agent manage my labels?
The agent can list your labels using the list_labels tool. To create or edit labels, please use the Ellie Planner web application.
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.
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