Reclaim.ai MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Reclaim.ai through the 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
Vinkius supports streamable HTTP and SSE.
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({
"reclaimai": {
"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 Reclaim.ai, 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 Reclaim.ai MCP Server
Connect your Reclaim.ai intelligent scheduling assistant directly to your AI agent. Enabling this integration turns your AI into an advanced executive assistant, capable of instantly scanning your schedule, managing priorities, and inserting new smart tasks into your Google Calendar effortlessly.
LangChain's ecosystem of 500+ components combines seamlessly with Reclaim.ai through native MCP adapters. Connect 10 tools via the 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
- Smart Task Management — Create, update, or delete dynamic tasks, adjusting their duration and priority while letting Reclaim handle the automated calendar placement.
- Habit Tracking — Review your recurring protected time blocks (Habits) scheduled to accommodate deep work, routines, and breaks.
- Calendar Review — List both manual and AI-scheduled events for specific date ranges to understand your true availability.
- Scheduling Links — Retrieve your shareable booking page URLs instantly to send to teammates or clients directly from chat.
- Time Analytics — Extract quantitative data tracking how you allocate focus across categories over customized ranges.
The Reclaim.ai MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Reclaim.ai to LangChain via MCP
Follow these steps to integrate the Reclaim.ai MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Reclaim.ai via MCP
Why Use LangChain with the Reclaim.ai MCP Server
LangChain provides unique advantages when paired with Reclaim.ai through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Reclaim.ai 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 Reclaim.ai queries for multi-turn workflows
Reclaim.ai + LangChain Use Cases
Practical scenarios where LangChain combined with the Reclaim.ai MCP Server delivers measurable value.
RAG with live data: combine Reclaim.ai tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Reclaim.ai, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Reclaim.ai tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Reclaim.ai tool call, measure latency, and optimize your agent's performance
Reclaim.ai MCP Tools for LangChain (10)
These 10 tools become available when you connect Reclaim.ai to LangChain via MCP:
create_task
Specify title, duration in minutes, due date, and priority (P1 to P4). Creates a new task to be auto-scheduled by Reclaim.ai
delete_task
This action is irreversible. Deletes a task from Reclaim.ai
get_analytics
Retrieves time analytics for a specific date range
get_current_user
Retrieves the authenticated user profile
get_task
Retrieves details for a specific Reclaim.ai task
list_calendar_events
Lists all events on the Reclaim.ai planner for a date range
list_habits
Lists all habits configured in Reclaim.ai
list_scheduling_links
Lists all Reclaim.ai scheduling links
list_tasks
You can filter by status (NEW, SCHEDULED, IN_PROGRESS, COMPLETE). Lists all tasks managed by Reclaim.ai
update_task
Provide a JSON object with the updates. Updates an existing Reclaim.ai task
Example Prompts for Reclaim.ai in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Reclaim.ai immediately.
"Create a new task to draft the Q3 analytics report taking 3 hours with P1 priority."
"Delete task with ID 20392."
"Show my time spent analytics between 2024-01-01 and 2024-01-31."
Troubleshooting Reclaim.ai MCP Server with LangChain
Common issues when connecting Reclaim.ai to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersReclaim.ai + LangChain FAQ
Common questions about integrating Reclaim.ai 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?
Connect Reclaim.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Reclaim.ai to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
