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Vinkius

Flock MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Flock, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Flock MCP Server

Connect your Flock bot to any AI agent and take full control of your team communication, private groups, and organizational roster through natural conversation.

The Vercel AI SDK gives every Flock tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Rich Messaging Orchestration — Provision massively fast payloads strictly into Flock chats, utilizing ` to render rich enterprise attachments and formatted layouts natively
  • Public Channel Discovery — Enumerate explicitly attached public channels and execute bulk iterations to capture global namespaces and routing configurations synchronously
  • Private Group Management — Identify bounded private groups and retrieve precise physical definitions detailing exactly how hidden groups operate within your enterprise
  • Organizational Roster Auditing — Discovers global identity blocks mapping direct @` aliases to absolute string UUIDs to solve accurate routing for the entire company
  • Identity Metadata Retrieval — Perform structural extraction of profile metadata linked to Flock users, resolving time zones and LDAP/SSO properties securely
  • Chat Log Ingestion — Pull chronological asynchronous logs from any room, extracting raw JSON objects mapping historical strings natively from chat fetchers
  • Membership Oversight — Audit IAM boundaries and identify explicit active UUIDs directly attached to channels or groups to verify intended audiences flawlessly

The Flock 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 Flock to Vercel AI SDK via MCP

Follow these steps to integrate the Flock MCP Server with Vercel AI SDK.

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 10 tools from Flock and passes them to the LLM

Why Use Vercel AI SDK with the Flock MCP Server

Vercel AI SDK provides unique advantages when paired with Flock 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 Flock integration everywhere

03

Built-in streaming UI primitives let you display Flock 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

Flock + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Flock MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Flock to Vercel AI SDK via MCP:

01

channels_get_info

Retrieve explicit Channel descriptions and banner logic mappings

02

channels_list_members

Identify explicit Active UUIDs directly attached evaluating Channel ingress

03

channels_list_public

Enumerate explicitly attached `public` channels active within Flock

04

chat_fetch_messages

Extracts raw JSON objects mapping historical strings natively returned by `chat.fetchMessages`. Read recent structural Chat payloads targeting a Flock Room

05

chat_send_message

Detects if formatted `<flockml>` definitions are passed and converts the payload dynamically bypassing standard Markdown limits rendering rich enterprise attachments. Provision a massively fast payload strictly into an established Flock Chat

06

groups_get_info

Inspect deep internal credentials identifying a precise Private Group

07

groups_list_members

Crucial for verifying sensitive message targets. Audit IAM boundaries explicitly granting read permissions to a Group

08

groups_list_private

Returns arrays necessary to retrieve correct routing UUIDs. Identify bounded Private Groups tracking strict IAM boundaries

09

roster_list_directory

Returns explicit array definitions mapping direct `@` aliases to absolute string UUIDs solving accurate routing natively. Identify precise active Human constraints navigating the entire Flock company

10

users_get_metadata

Perform structural extraction of metadata linked to a Flock Identity

Example Prompts for Flock in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Flock immediately.

01

"Send a message to group 'g:123': 'Project update is live!'"

02

"List all public channels in my Flock workspace"

03

"Get the metadata for user '@john_doe'"

Troubleshooting Flock MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Flock + Vercel AI SDK FAQ

Common questions about integrating Flock 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.

Connect Flock to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.