How do I check if a team member is available for a specific date range?

You can use the 'list_allocations' tool to see current schedules. By asking the agent, 'Is John available next week?', it will scan existing task allocations and time off to provide a clear answer.

Can I assign a person to a project directly through the agent?

Yes! The 'create_allocation' tool allows you to schedule a person to a project by providing their ID, the project ID, start/end dates, and the number of hours per day.

How do I see who is currently on vacation?

Use the 'list_time_offs' tool. It retrieves all scheduled vacations, sick leave, and holidays, giving you an immediate view of who is away from the office.

Float MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Float
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Float through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Float "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Float?"
    )
    print(result.data)

asyncio.run(main())

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IAMAccess control

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DLPData protection

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Float tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Float MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Float with type-safe schemas

Why Use Pydantic AI with the Float MCP Server

Pydantic AI provides unique advantages when paired with Float through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Float integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Float connection logic from agent behavior for testable, maintainable code

Float + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Float MCP Server delivers measurable value.

Type-safe data pipelines: query Float with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Float tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Float and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Float responses and write comprehensive agent tests

Float MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Float to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Float to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Float + Pydantic AI FAQ

Common questions about integrating Float MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Float MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.