Toggl Plan MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Toggl Plan through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Toggl Plan, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Toggl Plan MCP Server
Connect your Toggl Plan workspaces to an AI agent entirely bypassing the complex graphical interfaces. Allow your project managers and team leads to directly read, create, and organize workload data, milestones, and daily tasks inside a conversational or command-driven environment.
The Vercel AI SDK gives every Toggl Plan tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Timeline Oversight — Search workspaces to list, read, or inspect the metadata details of specific timeline tasks and milestones
- Project Construction — Easily list all the active project segments directly on your terminal to know what your team is facing today
- Task Execution — Complete the full cycle of task management: Create new nodes on the timeline, update existing entries, or delete deprecated ones through simple instructions
- Fleet Operations — Manage human resources by securely listing all registered workspace users to assign workloads correctly
- Taxonomy Organization — Check and retrieve current tagging structures to ensure standardized labels
The Toggl Plan MCP Server exposes 10 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.
How to Connect Toggl Plan to Vercel AI SDK via MCP
Follow these steps to integrate the Toggl Plan MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Toggl Plan and passes them to the LLM
Why Use Vercel AI SDK with the Toggl Plan MCP Server
Vercel AI SDK provides unique advantages when paired with Toggl Plan through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Toggl Plan integration everywhere
Built-in streaming UI primitives let you display Toggl Plan tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Toggl Plan + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Toggl Plan MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Toggl Plan in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Toggl Plan tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Toggl Plan capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Toggl Plan through natural language queries
Toggl Plan MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Toggl Plan to Vercel AI SDK via MCP:
create_timeline_task
Requires workspace ID, task name, and project ID. Creates a new task on the Toggl Plan timeline
delete_timeline_task
This action is irreversible. Permanently deletes a task from the timeline
get_project_details
Retrieves details for a specific project
get_task_details
Retrieves details for a specific timeline task
list_milestones
Lists all project milestones
list_timeline_tasks
Requires a workspace ID. Lists all tasks on the Toggl Plan timeline for a specific workspace
list_workspace_projects
Lists all projects in a specific Toggl Plan workspace
list_workspace_tags
Lists all tags used for task categorization
list_workspace_users
Lists all users with access to the workspace
update_timeline_task
Provide updates as a JSON object. Updates an existing timeline task
Example Prompts for Toggl Plan in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Toggl Plan immediately.
"List all active projects in Workspace 992211."
"Create a timeline task named 'Re-authenticate module' in Project 19332, workspace 992211."
Troubleshooting Toggl Plan MCP Server with Vercel AI SDK
Common issues when connecting Toggl Plan to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpToggl Plan + Vercel AI SDK FAQ
Common questions about integrating Toggl Plan MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Toggl Plan with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Toggl Plan to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.