Float MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Float as an MCP tool provider through 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="float_agent",
tools=tools,
system_message=(
"You help users with Float. "
"12 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 Float MCP Server
Connect your Float account to any AI agent and automate your resource management and team scheduling through the Model Context Protocol (MCP). Float is the leading resource planning platform that helps agencies and teams keep track of who is working on what and when. Now, you can manage allocations, check availability, and oversee project timelines directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Float tools. Connect 12 tools through 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
- Team Scheduling — List all team members and fetch detailed availability and profile metadata.
- Project Oversight — Access active projects, retrieve specific project details, and manage the team members assigned to them.
- Task Allocations — Create and list project allocations, assigning specific hours and dates to team members instantly.
- Time Off Management — Monitor scheduled vacations, sick leave, and public holidays to ensure accurate capacity planning.
- Logged Time Analysis — Retrieve actual hours worked versus scheduled time to track project progress and efficiency.
- Organization Discovery — List clients, departments, and account users to maintain full context of your agency's structure.
- Capacity Planning — Fetch high-level snapshots of team utilization and task labels (e.g., Design, Development).
The Float MCP Server exposes 12 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 Float to AutoGen via MCP
Follow these steps to integrate the Float 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 12 tools from Float automatically
Why Use AutoGen with the Float MCP Server
AutoGen provides unique advantages when paired with Float through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Float tools to solve complex tasks
Role-based architecture lets you assign Float 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 Float tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Float tool responses in an isolated environment
Float + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Float MCP Server delivers measurable value.
Collaborative analysis: one agent queries Float while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Float, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Float data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Float responses in a sandboxed execution environment
Float MCP Tools for AutoGen (12)
These 12 tools become available when you connect Float to AutoGen via MCP:
create_allocation
Schedule a task
get_logged_time
Get actual hours
get_person
Get person details
get_project
Get project details
list_allocations
List task allocations
list_clients
List clients
list_departments
List departments
list_people
List team members
list_project_task_names
g. Design, Dev). List task labels
list_projects
List projects
list_time_offs
List time off
list_user_accounts
List user accounts
Example Prompts for Float in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Float immediately.
"List all active projects in Float and the team members assigned to them."
"Schedule John Doe for 4 hours a day on the 'Q3 Marketing' project from Monday to Friday."
"Who is scheduled for time off this month?"
Troubleshooting Float MCP Server with AutoGen
Common issues when connecting Float to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Float + AutoGen FAQ
Common questions about integrating Float 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 Float with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Float to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.