Dotloop 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 Dotloop 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 Dotloop, 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 Dotloop MCP Server
Connect your AI agent to Dotloop, the leading real estate transaction management platform. This integration allows you to interact with your loops, manage participants, and oversee documents and tasks directly through natural conversation.
The Vercel AI SDK gives every Dotloop 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
- Loop Oversight — List and retrieve detailed information for all your real estate transactions
- Participant Management — Add, list, and update profiles for buyers, sellers, and agents involved in a loop
- Document Organization — Explore folders and list metadata for all transaction documents
- Task Tracking — Monitor the status of checklists and to-do items for each deal
- Activity Auditing — Review the full activity log for any specific loop to see historical actions
- Profile Control — Access multiple profiles (personal or brokerage) associated with your account
The Dotloop 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 Dotloop to Vercel AI SDK via MCP
Follow these steps to integrate the Dotloop 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 Dotloop and passes them to the LLM
Why Use Vercel AI SDK with the Dotloop MCP Server
Vercel AI SDK provides unique advantages when paired with Dotloop 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 Dotloop integration everywhere
Built-in streaming UI primitives let you display Dotloop 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
Dotloop + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dotloop MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dotloop in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dotloop tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dotloop capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dotloop through natural language queries
Dotloop MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Dotloop to Vercel AI SDK via MCP:
add_loop_participant
Add a new participant to a loop
get_loop_activity
Retrieve the activity log for a specific loop
get_loop_details
Get comprehensive information for a specific loop
list_folder_documents
List all documents within a specific loop folder
list_loop_folders
List all document folders within a specific loop
list_loop_participants
List all participants (buyers, sellers, agents) in a specific loop
list_loop_tasks
List all tasks and checklists for a specific loop
list_loops
List all real estate transactions (loops) for a specific profile
list_profile_contacts
List all contacts in the user directory for a specific profile
list_profiles
Retrieve all profiles (brokerages, associations, individual) associated with the user
Example Prompts for Dotloop in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dotloop immediately.
"List all my active transaction loops."
"Show me the tasks for loop ID '78901'."
Troubleshooting Dotloop MCP Server with Vercel AI SDK
Common issues when connecting Dotloop to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDotloop + Vercel AI SDK FAQ
Common questions about integrating Dotloop 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 Dotloop 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 Dotloop to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.