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Basecamp MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 17 tools to Complete Todo, Create Comment, Create Project, and more

Built by Vinkius GDPR 17 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Basecamp through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Basecamp app connector for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Basecamp, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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.

The Vercel AI SDK gives every Basecamp tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 17 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 17 tools from Basecamp and passes them to the LLM

Why Use Vercel AI SDK with the Basecamp MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Basecamp integration everywhere

03

Built-in streaming UI primitives let you display Basecamp tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Basecamp + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Basecamp in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Basecamp tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Basecamp capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Basecamp through natural language queries

Example Prompts for Basecamp in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Basecamp + Vercel AI SDK FAQ

Common questions about integrating Basecamp MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.