Reclaim.ai MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Reclaim.ai as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="reclaimai_agent",
tools=tools,
system_message=(
"You help users with Reclaim.ai. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Reclaim.ai tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Reclaim.ai MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Reclaim.ai automatically
Why Use AutoGen with the Reclaim.ai MCP Server
AutoGen provides unique advantages when paired with Reclaim.ai through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Reclaim.ai tools to solve complex tasks
Role-based architecture lets you assign Reclaim.ai tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Reclaim.ai tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Reclaim.ai tool responses in an isolated environment
Reclaim.ai + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Reclaim.ai MCP Server delivers measurable value.
Collaborative analysis: one agent queries Reclaim.ai while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Reclaim.ai, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Reclaim.ai data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Reclaim.ai responses in a sandboxed execution environment
Reclaim.ai MCP Tools for AutoGen (10)
These 10 tools become available when you connect Reclaim.ai to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Reclaim.ai to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Reclaim.ai + AutoGen FAQ
Common questions about integrating Reclaim.ai MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
