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Forj MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Forj 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 Forj, 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 Forj MCP Server

Connect your Forj (formerly Mobilize) account to any AI agent to automate your community management and member engagement through the Model Context Protocol (MCP). Forj provides a powerful platform for organizing professional communities into groups, tracking member activity, and facilitating seamless synchronization with external CRMs. This MCP server enables you to manage your groups, search for members, and oversee community interactions directly through natural conversation.

The Vercel AI SDK gives every Forj 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.

Key Features

  • Member Discovery — Search for community members by name or keywords, and find specific users instantly by their email address.
  • Group Management — List all organizational groups, create new groups, and fetch detailed metadata for specific community segments.
  • Membership Control — Assign existing members to specific groups and monitor pending membership requests awaiting approval.
  • Engagement Insights — Retrieve detailed activity logs for specific members to understand their level of participation and interactions.
  • Invitation Tracking — Monitor sent and pending community invitations to maintain a healthy growth pipeline.
  • System Monitoring — Access account metadata and list active webhooks used for real-time community data synchronization.

The Forj 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 Forj to Vercel AI SDK via MCP

Follow these steps to integrate the Forj 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 12 tools from Forj and passes them to the LLM

Why Use Vercel AI SDK with the Forj MCP Server

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

03

Built-in streaming UI primitives let you display Forj 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

Forj + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Forj MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Forj to Vercel AI SDK via MCP:

01

add_user_to_group

Add member to group

02

create_group

Create a new group

03

find_user

Find user by email

04

get_account_details

Get community account info

05

get_group

Get group details

06

get_user_activity

Get member activity log

07

list_group_members

List members in a group

08

list_groups

List community groups

09

list_invitations

List sent invitations

10

list_pending_requests

List group join requests

11

list_webhooks

List active webhooks

12

search_users

Search community members

Example Prompts for Forj in Vercel AI SDK

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

01

"List all groups in my Forj community."

02

"Find the member profile for 'jane.doe@example.com'."

03

"Show me recent activity for user ID 'user_123'."

Troubleshooting Forj MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Forj + Vercel AI SDK FAQ

Common questions about integrating Forj 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 Forj to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.