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Forecast MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Forecast through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="Forecast Assistant",
            instructions=(
                "You help users interact with Forecast. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Forecast"
        )
        print(result.final_output)

asyncio.run(main())
Forecast
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* 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 Forecast MCP Server

Connect your Forecast.app account to any AI agent and take full control of your resource management and project scheduling through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from Forecast through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Forecast, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Project Orchestration — Retrieve the global array of all managed projects and fetch comprehensive scheduling and resource states belonging to specific project IDs natively
  • Task Lifecycle Auditing — Enumerate specific physical tasks allocated under project IDs to track work completion and identify bottlenecks synchronously
  • Personnel Oversight — Fetch physical identity definitions and availability constraints of global members to manage team utilization and workload limits securely
  • Client Relationship Mapping — Extract explicit client relationships mapped to projects inside your account to manage stakeholder communications flawlessly
  • Milestone Tracking — Identify timebox markers bounding specific sprint or deliverable targets to ensure project timelines remain within active boundaries
  • Resource Allocation Discovery — Analyze specific localized variables decoding active assignments and extracting hidden structural constraints across your portfolio
  • Operational Metadata retrieval — Access global account metadata and project-level attributes to verify workspace configurations natively

The Forecast MCP Server exposes 6 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 Forecast to OpenAI Agents SDK via MCP

Follow these steps to integrate the Forecast MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 6 tools from Forecast

Why Use OpenAI Agents SDK with the Forecast MCP Server

OpenAI Agents SDK provides unique advantages when paired with Forecast through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Forecast + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Forecast MCP Server delivers measurable value.

01

Automated workflows: build agents that query Forecast, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Forecast, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Forecast tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Forecast to resolve tickets, look up records, and update statuses without human intervention

Forecast MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect Forecast to OpenAI Agents SDK via MCP:

01

get_project

Get project details

02

list_clients

List clients

03

list_milestones

List milestones

04

list_people

List people

05

list_projects

List projects

06

list_tasks

List tasks

Example Prompts for Forecast in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Forecast immediately.

01

"List all active projects in Forecast"

02

"Show me the tasks for project 'API V2 Development'"

03

"Who is available this week for a new assignment?"

Troubleshooting Forecast MCP Server with OpenAI Agents SDK

Common issues when connecting Forecast to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Forecast + OpenAI Agents SDK FAQ

Common questions about integrating Forecast MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Forecast to OpenAI Agents SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.