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Reclaim.ai MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Reclaim.ai
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents — combine Reclaim.ai MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Reclaim.ai tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Reclaim.ai, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Reclaim.ai tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

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

02

delete_task

This action is irreversible. Deletes a task from Reclaim.ai

03

get_analytics

Retrieves time analytics for a specific date range

04

get_current_user

Retrieves the authenticated user profile

05

get_task

Retrieves details for a specific Reclaim.ai task

06

list_calendar_events

Lists all events on the Reclaim.ai planner for a date range

07

list_habits

Lists all habits configured in Reclaim.ai

08

list_scheduling_links

Lists all Reclaim.ai scheduling links

09

list_tasks

You can filter by status (NEW, SCHEDULED, IN_PROGRESS, COMPLETE). Lists all tasks managed by Reclaim.ai

10

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.

01

"Create a new task to draft the Q3 analytics report taking 3 hours with P1 priority."

02

"Delete task with ID 20392."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Reclaim.ai + LangChain FAQ

Common questions about integrating Reclaim.ai MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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.