How to Use the Basecamp MCP in Mastra AI

Q: How do I register Basecamp tools inside a Mastra AI agent?

Initialize the MCPClient with the Vinkius URL and call listTools(). You then spread those tools directly into your agent's configuration object so it can run commands like listtodos.

Q: Can Mastra AI handle conditional branching based on Basecamp project status?

Yes. You can query projects using getproject and branch your workflow based on the enabled tools in the dock. For example, if the message board is missing, you can skip posting updates.

Q: Can I require manual approval before Mastra AI modifies Basecamp data?

Yes, you can set requireToolApproval for sensitive operations like updatetodo or completetodo. The agent pauses execution until a human confirms the action in your admin panel.

Build resilient Basecamp automation workflows with Mastra AI and handle task updates with built-in retries.

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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 Task Management

The `create_todo` tool inserts new tasks into specific lists with due dates, descriptions, and assignees. This MCP Server coordinates this action within its structured workflow engine to ensure tasks populate correctly. If an assignment fails due to a network hiccup, the workflow engine triggers an automatic retry with exponential backoff. Your task creation pipeline remains reliable without manual intervention.

Resilient Project Updates via MCP Server

The `update_project` tool modifies project metadata and returns the updated dock configuration. Your Mastra AI agent uses this tool to keep project details aligned with external database changes. When a project update requires human approval, you configure the framework to pause execution. The agent waits for a manager to sign off before committing the changes to Basecamp.

Intelligent Commenting and Re-opening

The `uncomplete_todo` tool marks completed tasks as pending when QA tests fail. This MCP setup triggers this when a bug report arrives, ensuring the team knows work must resume. Immediately after reopening the task, the `create_comment` tool posts the failure logs as a rich text comment. Your entire debugging history stays consolidated inside the specific to-do item.

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-alternative-mcp-client",
  servers: {
    "basecamp-alternative-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

Initialize the `MCPClient` with the Vinkius URL and call `listTools()`. You then spread those tools directly into your agent's configuration object so it can run commands like `list_todos`.

Yes. You can query projects using `get_project` and branch your workflow based on the enabled tools in the dock. For example, if the message board is missing, you can skip posting updates.

The framework uses its built-in workflow engine to retry failed tools like `create_comment`. It backs off exponentially, preventing your integration from hitting Basecamp rate limits.

Yes, you can set `requireToolApproval` for sensitive operations like `update_todo` or `complete_todo`. The agent pauses execution until a human confirms the action in your admin panel.

All interactions with this MCP Server run inside ephemeral, zero-trust V8 isolates. Your Basecamp project details, comments, and member profiles are protected, and credentials are encrypted at rest.

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