Ellie Planner MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Complete Task, Create Task, Delete Task, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ellie Planner as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Ellie Planner MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Ellie Planner. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Ellie Planner?"
)
print(response)
asyncio.run(main())
* 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 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.
LlamaIndex agents combine Ellie Planner tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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
The Ellie Planner MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 Ellie Planner tools available for LlamaIndex
When LlamaIndex connects to Ellie Planner through Vinkius, your AI agent gets direct access to every tool listed below — spanning ellie-planner, task-management, time-blocking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Complete task on Ellie Planner
Mark a task as completed
Create task on Ellie Planner
Provide title and optionally date/labels. Create a new task
Delete task on Ellie Planner
Delete a task
Get task on Ellie Planner
Get details of a specific task
List labels on Ellie Planner
List all task labels
List lists on Ellie Planner
List all task lists
List tasks on Ellie Planner
List all tasks
Update task on Ellie Planner
Update an existing task
Connect Ellie Planner to LlamaIndex via MCP
Follow these steps to wire Ellie Planner into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Ellie Planner MCP Server
LlamaIndex provides unique advantages when paired with Ellie Planner through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ellie Planner tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ellie Planner tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ellie Planner, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ellie Planner tools were called, what data was returned, and how it influenced the final answer
Ellie Planner + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ellie Planner MCP Server delivers measurable value.
Hybrid search: combine Ellie Planner real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ellie Planner to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Ellie Planner for fresh data
Analytical workflows: chain Ellie Planner queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Ellie Planner in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ellie Planner immediately.
"List all my current tasks for today in Ellie Planner."
"Create a task 'Research MCP Servers' in my Brain Dump."
"Mark task ID 't_123' as completed."
Troubleshooting Ellie Planner MCP Server with LlamaIndex
Common issues when connecting Ellie Planner to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEllie Planner + LlamaIndex FAQ
Common questions about integrating Ellie Planner MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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