Ellie Planner MCP Server for LangChainGive LangChain instant access to 8 tools to Complete Task, Create Task, Delete Task, and more
LangChain is the leading Python framework for composable LLM applications. Connect Ellie Planner through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Ellie Planner MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"ellie-planner": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Ellie Planner, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Ellie Planner through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Ellie Planner into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Ellie Planner MCP Server
LangChain provides unique advantages when paired with Ellie Planner through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ellie Planner MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Ellie Planner queries for multi-turn workflows
Ellie Planner + LangChain Use Cases
Practical scenarios where LangChain combined with the Ellie Planner MCP Server delivers measurable value.
RAG with live data: combine Ellie Planner tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ellie Planner, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ellie Planner tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ellie Planner tool call, measure latency, and optimize your agent's performance
Example Prompts for Ellie Planner in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Ellie Planner to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEllie Planner + LangChain FAQ
Common questions about integrating Ellie Planner MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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