Flow MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Flow through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Flow, 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 Flow MCP Server
Connect your Flow account to any AI agent and automate your project management and team collaboration through the Model Context Protocol (MCP). Flow (getflow.com) provides a clean and powerful platform for organizing work, tracking task progress, and facilitating team discussions. Now, you can manage your workspaces, projects, and individual tasks directly through natural conversation.
The Vercel AI SDK gives every Flow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Coordination — List all projects within your workspaces and retrieve detailed metadata, including ownership and due dates.
- Task Management — Create, update, and list tasks across workspaces, projects, or specific task lists. Change statuses (incomplete/completed) instantly.
- Organized Lists — Access and list task groups (Lists) within projects to maintain a clear hierarchy of work.
- Team Interaction — List all workspace members and teams, and participate in task discussions by reading or adding comments.
- Workspace Oversight — Get a high-level view of all the top-level workspaces you belong to.
- Real-time Updates — Fetch specific task details or metadata to keep your team informed and your projects on track.
The Flow MCP Server exposes 12 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 Flow to Vercel AI SDK via MCP
Follow these steps to integrate the Flow 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 12 tools from Flow and passes them to the LLM
Why Use Vercel AI SDK with the Flow MCP Server
Vercel AI SDK provides unique advantages when paired with Flow 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 Flow integration everywhere
Built-in streaming UI primitives let you display Flow 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
Flow + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Flow MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Flow in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Flow tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Flow capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Flow through natural language queries
Flow MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Flow to Vercel AI SDK via MCP:
add_task_comment
Post a comment
create_task
Create a new task
get_project
Get project details
get_task
Get task details
list_projects
List projects in workspace
list_task_comments
List task discussions
list_task_lists
List lists in project
list_tasks
List tasks
list_workspace_members
List team members
list_workspace_teams
List workspace teams
list_workspaces
List top-level workspaces
update_task
). Update an existing task
Example Prompts for Flow in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Flow immediately.
"List all my Flow projects in the 'Marketing' workspace."
"Create a new task: 'Review final design mockup' in the 'Design' list."
"Add a comment to task 'task_123': 'Design looks great, proceed to coding'."
Troubleshooting Flow MCP Server with Vercel AI SDK
Common issues when connecting Flow to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFlow + Vercel AI SDK FAQ
Common questions about integrating Flow 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 Flow 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 Flow to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.