Reclaim.ai MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Reclaim.ai through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Reclaim.ai Assistant",
instructions=(
"You help users interact with Reclaim.ai. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Reclaim.ai"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Reclaim.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Reclaim.ai, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Reclaim.ai MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Reclaim.ai
Why Use OpenAI Agents SDK with the Reclaim.ai MCP Server
OpenAI Agents SDK provides unique advantages when paired with Reclaim.ai through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Reclaim.ai + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Reclaim.ai MCP Server delivers measurable value.
Automated workflows: build agents that query Reclaim.ai, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Reclaim.ai, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Reclaim.ai tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Reclaim.ai to resolve tickets, look up records, and update statuses without human intervention
Reclaim.ai MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Reclaim.ai to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Reclaim.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Reclaim.ai + OpenAI Agents SDK FAQ
Common questions about integrating Reclaim.ai MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
