Where do I obtain my Reclaim API Key?

Log into your Reclaim.ai web application. Head towards 'Settings', select 'Integrations' from the sidebar, and look for 'API' at the bottom of the connected apps. Generate your personal token there and provide it using the setup authorization parameter below.

Does creating a task automatically schedule it on my calendar?

Yes. When the AI uses the `create_task` tool, Reclaim.ai takes your input duration, designated priority (P1 to P4), and due date to contextually slot it securely into an available window on your connected Google or Outlook calendar without extra prompts.

Can I query what was already booked in the past by AI vs manually added?

Yes. The `list_calendar_events` query imports event types accurately across any given time period, allowing the AI to effectively understand both the manual meetings you accepted and the tasks Reclaim auto-negotiated on your schedule.

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

Name: Reclaim.ai
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Reclaim.ai through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Reclaim.ai "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Reclaim.ai?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Reclaim.ai tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Reclaim.ai MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Reclaim.ai with type-safe schemas

Why Use Pydantic AI with the Reclaim.ai MCP Server

Pydantic AI provides unique advantages when paired with Reclaim.ai through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Reclaim.ai integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Reclaim.ai connection logic from agent behavior for testable, maintainable code

Reclaim.ai + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Reclaim.ai MCP Server delivers measurable value.

Type-safe data pipelines: query Reclaim.ai with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Reclaim.ai tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Reclaim.ai and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Reclaim.ai responses and write comprehensive agent tests

Reclaim.ai MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Reclaim.ai to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Reclaim.ai to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Reclaim.ai + Pydantic AI FAQ

Common questions about integrating Reclaim.ai MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Reclaim.ai MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.