How to Use the Basecamp MCP in AutoGen

Q: How do I register the Basecamp MCP Server tools in AutoGen?

You use the mcpservertools helper from autogen-extmcp to fetch the tools from your Vinkius endpoint. Then, pass the resulting tool list directly into your AssistantAgent constructor.

Q: Can AutoGen agents read Basecamp message boards?

Yes, agents can call listmessages to read the message board. This allows them to debate decisions made in past threads and compare them with current project tasks.

Build AutoGen multi-agent squads that debate Basecamp project statuses and coordinate to-do lists automatically.

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Connect Basecamp MCP to AutoGen

Create your Vinkius account to connect Basecamp to AutoGen 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 Basecamp with AutoGen

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Debate Basecamp Project Statuses with AutoGen

The `get_project` tool provides high-level project metadata to your AutoGen agent conversation. One agent can pull project details while another reviews them to determine if milestones are slipping. You register this tool with your AssistantAgent using the AutoGen MCP adapter. This allows the agents to cross-reference project details autonomously during their multi-turn debates.

Audit Basecamp To-Dos using AutoGen Agents

The `list_todos` tool gives your AutoGen agents access to active tasks for real-time validation. A PM agent can query the tasks while a developer agent flags potential scheduling conflicts. This MCP Server integration allows the agents to run `list_todolists` to verify task categories. They negotiate solutions in the chat thread before presenting a final, vetted status report to you.

Analyze Campfire Chat Logs with AutoGen

The `list_campfire_lines` tool retrieves live chat logs so your AutoGen agents can analyze team sentiment and active issues. The agents ingest the chat lines to identify which team members are blocked. By combining this chat data with `list_people`, the agents map specific chat complaints to actual team profiles. The conversation framework ensures that multiple agents agree on the blocker's severity before flagging it.

Setup guide

Set up Basecamp MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Basecamp tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Basecamp_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Basecamp data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Basecamp_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Basecamp data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Basecamp. 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 Basecamp MCP in AutoGen

You use the mcp_server_tools helper from autogen-ext[mcp] to fetch the tools from your Vinkius endpoint. Then, pass the resulting tool list directly into your AssistantAgent constructor.

Yes, you can register the tools with multiple agents in your group chat. For example, both a coordinator agent and an auditor agent can call list_todos to verify project progress.

The McpToolAdapter in the AutoGen extension automatically translates the MCP tool schemas into the format expected by AutoGen's underlying LLM clients. You do not need to write manual JSON schemas.

Yes, agents can call list_messages to read the message board. This allows them to debate decisions made in past threads and compare them with current project tasks.

Vinkius runs the server in an ephemeral V8 sandbox that processes your Basecamp chat logs and user profiles in real-time. All data is purged immediately after your AutoGen agents finish their execution.

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