How to Use the Zoho Projects MCP in OpenAI Agents SDK

Q: Can I update project tasks using Zoho Projects and OpenAI Agents SDK?

Yep. The updatetask tool lets you modify existing tasks within a project structure. You just need to pass the correct IDs for it to work.

Q: What is the process for listing projects with Zoho Projects and OpenAI Agents SDK?

You run listprojects, passing in a portal ID, and the agent returns a list of all existing projects within that scope. This helps your agent know what it's working with.

Q: Do I need to worry about user access when using Zoho Projects and OpenAI Agents SDK?

No sweat. Use listprojectusers to get a list of every single user connected to a project, ensuring your agent knows who's on the team.

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Connect Zoho Projects MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zoho Projects to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Zoho Projects with OpenAI Agents SDK

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Create and scope new projects

Need to kick off a new initiative? You can call `create_project` by passing in the necessary portal ID and the project name. This action gets everything started, giving your agent a clean place to work. The agent also lets you find existing containers using `list_portals`, which is key for identifying the right scope before running any other commands.

Manage tasks and user assignments

The system allows your agent to add new work items directly via `create_task`. It requires three inputs: the portal ID, the project ID, and the task name. You can also keep records current using `update_task`. Furthermore, it keeps tabs on who's involved; call `list_project_users` to see everyone linked to a specific project.

Track progress through milestones and tasks

Want an overview of what needs doing? Run `list_milestones` to pull all key project checkpoints. You can also get detailed lists of existing work items by running `list_tasks` or checking the full scope with `list_task_lists`. This gives your agent a complete picture, allowing it to manage complex dependencies between tasks and milestones.

Setup guide

Set up Zoho Projects MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Zoho Projects tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zoho Projects tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zoho Projects tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Zoho Projects Agent",
            instructions="You have access to Zoho Projects tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoho Projects. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zoho Projects MCP in OpenAI Agents SDK

The agents use the MCP Server to interact directly with the Zoho Projects V3 API. When you ask for a task list, the agent doesn't guess; it executes `list_tasks` and returns the real data.

Yep. The `update_task` tool lets you modify existing tasks within a project structure. You just need to pass the correct IDs for it to work.

You run `list_projects`, passing in a portal ID, and the agent returns a list of all existing projects within that scope. This helps your agent know what it's working with.

No sweat. Use `list_project_users` to get a list of every single user connected to a project, ensuring your agent knows who's on the team.

This MCP Server touches Project metadata (portal ID, project name) and Task details. Your AI client handles the connection using an endpoint token for secure access.

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