Can I create a to-do and assign it to a team member directly via the AI agent?

Yes! Use the `create_todo` tool with the to-do list ID, content, and the assignee person IDs. You can also set a due date. The to-do will be created and assigned instantly in Basecamp.

How do I find the to-do list ID I need to create tasks in?

First, use `get_project` to retrieve the project details — the dock will contain the `todoset` ID. Then use the Basecamp UI or the to-do set to find your specific to-do list IDs within that project.

Can I mark a to-do as completed and later reopen it if needed?

Absolutely. Use the `complete_todo` tool to mark a to-do as done, and `uncomplete_todo` to reopen it. This only affects the completion status — the to-do remains active and visible in the project.

INSTANT PLUG AND PLAY

Basecamp MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 17 tools to Complete Todo, Create Comment, Create Project, and more

Name: Basecamp
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 17 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Basecamp app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 17 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Basecamp Assistant",
            instructions=(
                "You help users interact with Basecamp. "
                "You have access to 17 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Basecamp MCP Server

Connect your Basecamp account to any AI agent and take full control of your project management, team collaboration, and task tracking through natural conversation.

The OpenAI Agents SDK auto-discovers all 17 tools from Basecamp through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Basecamp, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — Create, list, update, and inspect projects with full dock metadata (message boards, to-do sets, schedules).
To-Do CRUD — Create, update, complete, and uncomplete to-do items across any to-do list, with assignees and due dates.
Team Visibility — List all people in your account or within a specific project to find assignee IDs and check roles.
Message Boards — Read messages posted on project boards to stay aligned with team decisions and announcements.
Comments — Add comments to any recording (to-do, message, document) to provide feedback or status updates.
Profile Verification — Retrieve your authenticated profile to confirm connectivity and check access permissions.

The Basecamp MCP Server exposes 17 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 17 Basecamp tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Basecamp through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, team-communication, file-sharing, 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.

complete_todo

This is separate from archiving or trashing — a completed to-do remains active but is marked as done. Use uncomplete_todo to reverse this action. Mark a to-do item as completed

create_comment

). The recording_id is the unique numeric ID of the item you want to comment on. The content must be provided as rich text (HTML). All subscribers to the recording will be notified of the new comment. Add a comment to any Basecamp recording

create_project

The project will be initialized with default tools (message board, to-do set, schedule, etc.) enabled via its dock. Returns the newly created project with its numeric ID and dock tool IDs. Create a new project in Basecamp

create_todo

Requires the todolist_id and the content (title) of the to-do. Optionally include a rich text description, assignee IDs (array of person IDs), and a due date in YYYY-MM-DD format. The to-do will be created as pending (not completed). Create a new to-do item in a to-do list

get_message

Get full details of a specific message

get_my_profile

Use this to verify connectivity or identify the current operator. Get the authenticated Basecamp user profile

get_person

Use this to look up details about a team member or assignee. Get full details of a specific person

get_project

). The dock contains the IDs you need to access tools like the to-do set or message board. Get full details of a specific project

get_todo

Get full details of a specific to-do item

list_messages

Each message includes title, content preview, author, category, and creation date. You need the message_board_id which can be found via the project dock. List all messages on a project message board

list_people

Useful for finding assignee IDs before creating or updating to-dos. List all people in the Basecamp account

list_project_people

Returns names, emails, and roles. Useful for checking team composition before assigning tasks. List all people assigned to a specific project

list_projects

Optionally filter by status: "active" (default), "archived", or "trashed". Each project includes its name, description, purpose, dock (enabled tools), and bookmark status. List all projects in Basecamp

list_todos

By default returns only pending (not completed) items. Set completed to true to see completed items instead. Each to-do includes its content, assignees, due date, completion status, and comments count. You need the todolist_id which can be found via the project dock. List all to-dos in a specific to-do list

uncomplete_todo

Use this when a previously completed task needs to be reopened or reworked. Mark a completed to-do item as pending again

update_project

At least one of name or description must be provided. Returns the updated project details including the full dock listing. Update an existing project in Basecamp

update_todo

At least one field must be provided. Does not affect completion status — use the complete_todo or uncomplete_todo tools for that. Update an existing to-do item in Basecamp

Connect Basecamp to OpenAI Agents SDK via MCP

Follow these steps to wire Basecamp into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 17 tools from Basecamp

Why Use OpenAI Agents SDK with the Basecamp MCP Server

OpenAI Agents SDK provides unique advantages when paired with Basecamp 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

Basecamp + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Basecamp in OpenAI Agents SDK

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

"List all my active projects in Basecamp."

"Create a new to-do 'Review design mockups' in list 592001 and assign it to person 10293 with a due date of 2026-05-15."

"Show me the latest messages on the message board of project 48291034."

Troubleshooting Basecamp MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Basecamp + OpenAI Agents SDK FAQ

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

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.

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.

Does the SDK support streaming responses?

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