Float MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Float through 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="Float Assistant",
instructions=(
"You help users interact with Float. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Float"
)
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 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Float through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Float, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Float to OpenAI Agents SDK via MCP
Follow these steps to integrate the Float 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 12 tools from Float
Why Use OpenAI Agents SDK with the Float MCP Server
OpenAI Agents SDK provides unique advantages when paired with Float 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
Float + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Float MCP Server delivers measurable value.
Automated workflows: build agents that query Float, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Float, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Float tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Float to resolve tickets, look up records, and update statuses without human intervention
Float MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Float to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Float to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Float + OpenAI Agents SDK FAQ
Common questions about integrating Float 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 Float 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 Float to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.