BunnyDoc 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 BunnyDoc 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 BunnyDoc, 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 BunnyDoc MCP Server
Connect your BunnyDoc account to any AI agent and orchestrate your eSignature workflows, document lifecycle, and team collaboration through natural conversation.
The Vercel AI SDK gives every BunnyDoc 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
- Signature Requests — Trigger new document signature requests using pre-defined templates directly from your workspace.
- Status Oversight — Monitor the real-time status of envelopes (Draft, Sent, Signed, Completed) using natural language.
- Template Management — List all available document templates to ensure consistency in your signing workflows.
- Team Coordination — Access your directory of team members and invite new collaborators to the platform.
- Webhook Automation — Subscribe to lifecycle events (viewed, signed, completed) to automate your back-office response.
- Document Auditing — Retrieve detailed metadata and audit trails for any envelope ID straight from your workspace.
The BunnyDoc 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 BunnyDoc to Vercel AI SDK via MCP
Follow these steps to integrate the BunnyDoc 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 BunnyDoc and passes them to the LLM
Why Use Vercel AI SDK with the BunnyDoc MCP Server
Vercel AI SDK provides unique advantages when paired with BunnyDoc 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 BunnyDoc integration everywhere
Built-in streaming UI primitives let you display BunnyDoc 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
BunnyDoc + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BunnyDoc MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BunnyDoc in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BunnyDoc tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BunnyDoc capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BunnyDoc through natural language queries
BunnyDoc MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect BunnyDoc to Vercel AI SDK via MCP:
add_team_member
Invite a new member to the team
create_signature_request
Create a new signature request from a template
get_account_info
Retrieve core account information
get_envelope_status
Get status of a specific signature request (envelope)
get_usage_stats
Retrieve API usage statistics
list_envelopes
List all signature requests
list_team_members
List all members of the team
list_templates
List all available document templates
subscribe_webhook
Subscribe to signature events via webhook
unsubscribe_webhook
Remove a webhook subscription
Example Prompts for BunnyDoc in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BunnyDoc immediately.
"List all my document templates in BunnyDoc."
"Show the status of signature request env_99283."
"Send the 'NDA' template to Jane Smith (jane@example.com)."
Troubleshooting BunnyDoc MCP Server with Vercel AI SDK
Common issues when connecting BunnyDoc to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBunnyDoc + Vercel AI SDK FAQ
Common questions about integrating BunnyDoc 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 BunnyDoc 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 BunnyDoc to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.