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How to Use the Basecamp MCP in Google ADK

Plug the Basecamp MCP Server into the Google ADK to let Gemini analyze massive project histories alongside your BigQuery enterprise data.

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Google ADK

Connect Basecamp MCP to Google ADK

Create your Vinkius account to connect Basecamp to Google ADK 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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Feed Basecamp into Google ADK

This MCP Server pushes raw project communications straight into Gemini's massive context window. Your agent executes `list_messages` across dozens of active boards to build a complete timeline of decisions. Combining this with Google Cloud infrastructure means you cross-reference chats with actual code commits. The model pulls specific thread details via `get_message` and compares them against BigQuery records in a single reasoning step.

Drive Enterprise Task Execution

Agents stop just reading data and start building workspaces. When a new initiative drops, the system triggers `create_project` to establish the message board, to-do set, and schedule docks instantly. Populating those projects happens in seconds. The ADK maps out the required steps and fires `create_todo` repeatedly, assigning tasks based on team availability pulled from `list_project_people`.

Keep Teams Updated Automatically

Status reporting becomes a background process. Your agent analyzes Vertex AI model outputs and formats the results into an HTML payload for `create_comment`. Closing the loop requires almost zero effort. Once a massive data migration finishes, the agent simply calls `complete_todo` to clear the item off the board.

Setup guide

Set up Basecamp MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Basecamp tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Basecamp_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Basecamp tools via MCP.",
    tools=mcp_tools,
)

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 Google ADK

Create an `McpToolset` using your Vinkius MCP endpoint URL. Pass that toolset directly to your `LlmAgent` initialization.
They filter by status automatically. Executing `list_projects` lets the agent target only active workspaces while ignoring archived or trashed ones.
Your Gemini MCP agent needs to look up the team first. It runs `list_people` to match email addresses to numeric IDs before assigning work.
Yes, modifying tasks works natively. The agent calls `update_todo` to change deadlines or descriptions without altering the completion status.
Vinkius executes every MCP Server request in a zero-trust sandbox. Your proprietary message boards and to-do lists pass through a temporary container that vanishes the moment the API responds.

Start using the Basecamp MCP today

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Built & Managed by Vinkius 30s setup 17 tools

We've already built the connector for Basecamp. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 17 tools are live and waiting. You're up and running in seconds.

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