Can my AI agent summarize discussions from Basecamp Campfires?

Yes. Command the agent to 'List recent campfire lines from project X'. It retrieves the chat log arrays, allowing the LLM natively to digest confusing thread debates into a pristine bullet-point summary.

How does the agent handle nested 'Todoset' boundaries?

Basecamp uses specific bounded models. The agent automatically runs sequential tools: finding the project, identifying the explicit Todoset ID, listing todolists inside it, and ultimately grabbing the real atomic 'Todos'. It navigates the structure smoothly.

Does it track who wrote a specific task or message board post?

Absolutely. Alongside content, it extracts explicit metadata profiling authors using the 'list_people' bindings. This perfectly exposes actionable context on exactly who dropped a critical file or task update.

Basecamp MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Basecamp
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 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.

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 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 7 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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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 Basecamp MCP Server

Connect your Basecamp account to any AI agent and track team productivity, tasks, and communications through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 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.

O que você pode fazer

Project Navigation — List active projects, map exact internal UUIDs, and discover complete team structures
To-Do Lists — Access Todosets, examine explicit todolists, and track individual pending tasks instantly
Message Boards — Paginate through team announcements extracting conversation metadata reliably
Campfire Logs — Retrieve recent interactive chat lines from project Campfire modules securely
People Directory — Enumerate entire organizational team profiles tracking accurate author histories

Como funciona

1. Subscribe to this server
2. Enter your Basecamp Access Token and Account ID
3. Gain full remote insights into your projects and to-dos via Claude or Cursor

Keep your work centralized and allow your AI agent to fetch updates or summarize backlogs without opening complex web interfaces.

Para quem é?

Project Managers — gather immediate daily task digests and campfire chatter summaries from multiple projects simultaneously
Development Teams — search unresolved bug todolists while writing code inside the IDE naturally
Agency Owners — monitor client project health, list overdue tasks, and track assignee distributions globally

The Basecamp MCP Server exposes 7 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 Basecamp to OpenAI Agents SDK via MCP

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

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 7 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

Basecamp MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Basecamp to OpenAI Agents SDK via MCP:

get_project

Get a specific Basecamp project

list_campfire_lines

List recent chat lines from a project Campfire

list_messages

List messages on a project message board

list_people

List all people in the Basecamp account

list_projects

List active Basecamp projects

list_todolists

List Basecamp todolists inside a todoset

list_todos

List todos inside a specific todolist

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.

"What are the latest message board posts in the 'Website Redesign' project?"

"List all pending todos on the 'Launch Day' todolist."

"Can you summarize the active projects our team is working on?"

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.