Toggl Plan 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 Toggl Plan as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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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="toggl_plan_agent",
tools=tools,
system_message=(
"You help users with Toggl Plan. "
"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 Toggl Plan MCP Server
Connect your Toggl Plan workspaces to an AI agent entirely bypassing the complex graphical interfaces. Allow your project managers and team leads to directly read, create, and organize workload data, milestones, and daily tasks inside a conversational or command-driven environment.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Toggl Plan 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
- Timeline Oversight — Search workspaces to list, read, or inspect the metadata details of specific timeline tasks and milestones
- Project Construction — Easily list all the active project segments directly on your terminal to know what your team is facing today
- Task Execution — Complete the full cycle of task management: Create new nodes on the timeline, update existing entries, or delete deprecated ones through simple instructions
- Fleet Operations — Manage human resources by securely listing all registered workspace users to assign workloads correctly
- Taxonomy Organization — Check and retrieve current tagging structures to ensure standardized labels
The Toggl Plan 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 Toggl Plan to AutoGen via MCP
Follow these steps to integrate the Toggl Plan 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 Toggl Plan automatically
Why Use AutoGen with the Toggl Plan MCP Server
AutoGen provides unique advantages when paired with Toggl Plan through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Toggl Plan tools to solve complex tasks
Role-based architecture lets you assign Toggl Plan 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 Toggl Plan tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Toggl Plan tool responses in an isolated environment
Toggl Plan + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Toggl Plan MCP Server delivers measurable value.
Collaborative analysis: one agent queries Toggl Plan while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Toggl Plan, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Toggl Plan data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Toggl Plan responses in a sandboxed execution environment
Toggl Plan MCP Tools for AutoGen (10)
These 10 tools become available when you connect Toggl Plan to AutoGen via MCP:
create_timeline_task
Requires workspace ID, task name, and project ID. Creates a new task on the Toggl Plan timeline
delete_timeline_task
This action is irreversible. Permanently deletes a task from the timeline
get_project_details
Retrieves details for a specific project
get_task_details
Retrieves details for a specific timeline task
list_milestones
Lists all project milestones
list_timeline_tasks
Requires a workspace ID. Lists all tasks on the Toggl Plan timeline for a specific workspace
list_workspace_projects
Lists all projects in a specific Toggl Plan workspace
list_workspace_tags
Lists all tags used for task categorization
list_workspace_users
Lists all users with access to the workspace
update_timeline_task
Provide updates as a JSON object. Updates an existing timeline task
Example Prompts for Toggl Plan in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Toggl Plan immediately.
"List all active projects in Workspace 992211."
"Create a timeline task named 'Re-authenticate module' in Project 19332, workspace 992211."
Troubleshooting Toggl Plan MCP Server with AutoGen
Common issues when connecting Toggl Plan to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Toggl Plan + AutoGen FAQ
Common questions about integrating Toggl Plan 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 Toggl Plan with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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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 Toggl Plan to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.