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Basecamp MCP Server for Mastra AIGive Mastra AI instant access to 17 tools to Complete Todo, Create Comment, Create Project, and more

Built by Vinkius GDPR 17 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Basecamp through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Basecamp app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 17 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "basecamp-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Basecamp Agent",
    instructions:
      "You help users interact with Basecamp " +
      "using 17 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Basecamp?"
  );
  console.log(result.text);
}

main();
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About Basecamp MCP Server

Connect your Basecamp account to any AI agent and take full control of your project management, team collaboration, and task tracking through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Basecamp tool infrastructure. Connect 17 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Project Management — Create, list, update, and inspect projects with full dock metadata (message boards, to-do sets, schedules).
  • To-Do CRUD — Create, update, complete, and uncomplete to-do items across any to-do list, with assignees and due dates.
  • Team Visibility — List all people in your account or within a specific project to find assignee IDs and check roles.
  • Message Boards — Read messages posted on project boards to stay aligned with team decisions and announcements.
  • Comments — Add comments to any recording (to-do, message, document) to provide feedback or status updates.
  • Profile Verification — Retrieve your authenticated profile to confirm connectivity and check access permissions.

The Basecamp MCP Server exposes 17 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 17 Basecamp tools available for Mastra AI

When Mastra AI connects to Basecamp through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, team-communication, file-sharing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

complete_todo

This is separate from archiving or trashing — a completed to-do remains active but is marked as done. Use uncomplete_todo to reverse this action. Mark a to-do item as completed

create_comment

). The recording_id is the unique numeric ID of the item you want to comment on. The content must be provided as rich text (HTML). All subscribers to the recording will be notified of the new comment. Add a comment to any Basecamp recording

create_project

The project will be initialized with default tools (message board, to-do set, schedule, etc.) enabled via its dock. Returns the newly created project with its numeric ID and dock tool IDs. Create a new project in Basecamp

create_todo

Requires the todolist_id and the content (title) of the to-do. Optionally include a rich text description, assignee IDs (array of person IDs), and a due date in YYYY-MM-DD format. The to-do will be created as pending (not completed). Create a new to-do item in a to-do list

get_message

Get full details of a specific message

get_my_profile

Use this to verify connectivity or identify the current operator. Get the authenticated Basecamp user profile

get_person

Use this to look up details about a team member or assignee. Get full details of a specific person

get_project

). The dock contains the IDs you need to access tools like the to-do set or message board. Get full details of a specific project

get_todo

Get full details of a specific to-do item

list_messages

Each message includes title, content preview, author, category, and creation date. You need the message_board_id which can be found via the project dock. List all messages on a project message board

list_people

Useful for finding assignee IDs before creating or updating to-dos. List all people in the Basecamp account

list_project_people

Returns names, emails, and roles. Useful for checking team composition before assigning tasks. List all people assigned to a specific project

list_projects

Optionally filter by status: "active" (default), "archived", or "trashed". Each project includes its name, description, purpose, dock (enabled tools), and bookmark status. List all projects in Basecamp

list_todos

By default returns only pending (not completed) items. Set completed to true to see completed items instead. Each to-do includes its content, assignees, due date, completion status, and comments count. You need the todolist_id which can be found via the project dock. List all to-dos in a specific to-do list

uncomplete_todo

Use this when a previously completed task needs to be reopened or reworked. Mark a completed to-do item as pending again

update_project

At least one of name or description must be provided. Returns the updated project details including the full dock listing. Update an existing project in Basecamp

update_todo

At least one field must be provided. Does not affect completion status — use the complete_todo or uncomplete_todo tools for that. Update an existing to-do item in Basecamp

Connect Basecamp to Mastra AI via MCP

Follow these steps to wire Basecamp into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 17 tools from Basecamp via MCP

Why Use Mastra AI with the Basecamp MCP Server

Mastra AI provides unique advantages when paired with Basecamp through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Basecamp without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Basecamp tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Basecamp + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Basecamp MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Basecamp, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Basecamp as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Basecamp on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Basecamp tools alongside other MCP servers

Example Prompts for Basecamp in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Basecamp immediately.

01

"List all my active projects in Basecamp."

02

"Create a new to-do 'Review design mockups' in list 592001 and assign it to person 10293 with a due date of 2026-05-15."

03

"Show me the latest messages on the message board of project 48291034."

Troubleshooting Basecamp MCP Server with Mastra AI

Common issues when connecting Basecamp to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Basecamp + Mastra AI FAQ

Common questions about integrating Basecamp MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.