How to Use the Basecamp MCP in Mastra AI

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

You initialize the MCPClient with the Vinkius URL and call listTools(). Then, you spread those tools directly into your Mastra AI agent configuration.

Q: How does human-in-the-loop work with Basecamp and Mastra AI?

You configure requireToolApproval on sensitive tools like listtodolists. This stops the agent from making changes to your Basecamp projects until a teammate approves the action.

Build automated Basecamp workflows with Mastra AI agents that handle failed tasks and message updates on autopilot.

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Connect Basecamp MCP to Mastra AI

Create your Vinkius account to connect Basecamp to Mastra AI 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 Mastra AI

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Automated Basecamp Project Audits with Mastra AI

The `list_projects` tool fetches all active workspaces inside your Basecamp account. Your Mastra AI agent uses this tool to scan your projects and identify inactive teams or outdated boards. You can write a workflow that triggers `get_project` for each workspace to check recent activity. If a project lacks updates, the agent automatically assigns a follow-up task to the project owner.

Guarded To-do Creation Workflows

The `list_todolists` tool identifies the exact task groups inside your Basecamp projects. Your Mastra AI workflow uses this data to verify where new tasks belong before creating them. By setting `requireToolApproval` on this MCP Server, you ensure no agent modifies your to-do lists without human sign-off. The workflow pauses, alerts you, and resumes once you approve the task structure.

Resilient Campfire Log Monitoring

The `list_campfire_lines` tool retrieves recent chat logs from your project rooms. Mastra AI agents monitor these logs to detect urgent issues raised by your team. If the Basecamp API rate-limits your request, Mastra's built-in retry engine backs off and tries again automatically. Your monitoring workflow keeps running without crashing your production server.

Setup guide

Set up Basecamp MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Basecamp tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "basecamp-mcp-client",
  servers: {
    "basecamp-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Basecamp Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Basecamp tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Basecamp transactions"
);
console.log(result.text);

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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 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 Mastra AI

You initialize the `MCPClient` with the Vinkius URL and call `listTools()`. Then, you spread those tools directly into your Mastra AI agent configuration.

Yes, Mastra AI uses a built-in workflow engine that automatically retries failed `list_todos` calls. You don't have to write custom error-handling loops for your project tasks.

You configure `requireToolApproval` on sensitive tools like `list_todolists`. This stops the agent from making changes to your Basecamp projects until a teammate approves the action.

No, Mastra AI automatically detects the transport protocol of your Vinkius MCP endpoint. It supports both SSE and Streamable HTTP without manual configuration.

Your Basecamp data processed by this MCP server is never stored by Vinkius. The server runs inside an ephemeral, zero-trust V8 sandbox, processing data strictly in-memory during execution.

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