How to Use the Common Paper MCP in Vercel AI SDK

Q: How do I configure the Common Paper MCP Server with Vercel AI SDK?

Install @ai-sdk/mcp and set up the HTTP client pointing to your Vinkius endpoint. Pass the tools from mcpClient.tools() into generateText or streamText. Remember to call mcpClient.close() once the execution completes.

Q: Can Vercel AI SDK show signed Common Paper contracts instantly?

Yes, by calling listsignedagreements through the SDK. The tool outputs a clean list of fully signed agreements that you can stream directly into your React components without extra backend glue code.

Q: How does the Common Paper integration handle template variables in Vercel AI SDK?

Your AI client reads the required fields from gettemplate first. It then prompts the user for missing info and injects those values into sendagreement before executing the tool.

Q: How do I find a specific recipient's contract status?

Run searchagreementsbyemail with the recipient's email address. The agent returns matching records, and your Vercel AI SDK UI updates to show whether they signed or if the agreement is still pending.

Send agreements and track signatures live in your Next.js frontend with Vercel AI SDK.

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Connect Common Paper MCP to Vercel AI SDK

Create your Vinkius account to connect Common Paper to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Common Paper with Vercel AI SDK

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Render Common Paper MCP Server templates in your React UI

The Common Paper MCP Server lets your application fetch and display active legal templates directly in your streaming UI. Your AI client calls `list_templates` or `get_template` to pull draft structures, rendering them for users before they hit send. Because Vercel AI SDK streams tool calls, users don't stare at loading spinners while fetching clauses. They see the contract structure populate line-by-line as the agent prepares the draft.

Trigger and monitor agreement status in real time

The `send_agreement` tool initiates signature requests directly from your conversational prompt. Your AI client grabs the template ID, populates recipient details, and kicks off the signing flow instantly. Once sent, the Vercel AI SDK updates the UI state immediately. Your app monitors progress using `get_agreement` to show whether the recipient has opened, read, or signed the contract.

Manage live webhook configurations from the chat

The `create_webhook` tool lets your agent set up instant notifications for contract events. You configure endpoints directly through the chat interface to catch signature events the moment they happen. If you need to tear down an endpoint, the agent invokes `delete_webhook` or checks active ones with `list_webhooks`. This keeps your Vercel AI SDK serverless functions synced with your contract states via the MCP Server without manual dashboard configuration.

Setup guide

Set up Common Paper MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Common Paper tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Common Paper transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Common Paper. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Common Paper MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the HTTP client pointing to your Vinkius endpoint. Pass the tools from `mcpClient.tools()` into `generateText` or `streamText`. Remember to call `mcpClient.close()` once the execution completes.

Yes, by calling `list_signed_agreements` through the SDK. The tool outputs a clean list of fully signed agreements that you can stream directly into your React components without extra backend glue code.

Your AI client reads the required fields from `get_template` first. It then prompts the user for missing info and injects those values into `send_agreement` before executing the tool.

Run `search_agreements_by_email` with the recipient's email address. The agent returns matching records, and your Vercel AI SDK UI updates to show whether they signed or if the agreement is still pending.

Your commercial agreements and recipient emails never touch persistent storage on Vinkius. Every tool call runs inside an ephemeral, zero-trust V8 Isolate sandbox that instantly destroys its environment after executing your Common Paper MCP requests.

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