LiquidPlanner Classic MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Create Project, Create Task, Get Project, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LiquidPlanner Classic through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The LiquidPlanner Classic app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="LiquidPlanner Classic Assistant",
instructions=(
"You help users interact with LiquidPlanner Classic. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LiquidPlanner Classic"
)
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 LiquidPlanner Classic MCP Server
Connect your LiquidPlanner Classic workspace to any AI agent and manage project planning through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from LiquidPlanner Classic through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LiquidPlanner Classic, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Task Management — Create, update, and assign tasks with priority and estimates
- Project Tracking — Browse projects, milestones, and deliverables
- Timeline Monitoring — Track predictive schedules and deadline forecasts
- Workspace Browsing — Navigate workspace structure and team members
- Time Tracking — Access logged time and effort data
The LiquidPlanner Classic MCP Server exposes 10 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.
All 10 LiquidPlanner Classic tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to LiquidPlanner Classic through Vinkius, your AI agent gets direct access to every tool listed below — spanning predictive-scheduling, resource-leveling, task-dependencies, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new project in the default workspace
Requires parent_id if it should be nested under a project or folder. Create a new task in the default workspace
Get details of a specific project
Get details of a specific task
Uses the default configured workspace if no ID is provided. Get details of a specific workspace or the default workspace
List members in the default workspace
List projects in the default workspace
List tasks in the default workspace
List workspaces from LiquidPlanner Classic
Update an existing task in the default workspace
Connect LiquidPlanner Classic to OpenAI Agents SDK via MCP
Follow these steps to wire LiquidPlanner Classic into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the LiquidPlanner Classic MCP Server
OpenAI Agents SDK provides unique advantages when paired with LiquidPlanner Classic 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
LiquidPlanner Classic + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LiquidPlanner Classic MCP Server delivers measurable value.
Automated workflows: build agents that query LiquidPlanner Classic, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries LiquidPlanner Classic, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LiquidPlanner Classic tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LiquidPlanner Classic to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for LiquidPlanner Classic in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LiquidPlanner Classic immediately.
"Show all projects and the predicted schedule for the Platform v2 project."
"Create a task and show time tracking for the team this week."
"Show workspace members and resource allocation."
Troubleshooting LiquidPlanner Classic MCP Server with OpenAI Agents SDK
Common issues when connecting LiquidPlanner Classic to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LiquidPlanner Classic + OpenAI Agents SDK FAQ
Common questions about integrating LiquidPlanner Classic 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.