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Pitchly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Record, Delete Record, Get Record Details, and more

Built by Vinkius GDPR 11 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Pitchly app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Pitchly, 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 Pitchly MCP Server

Connect your Pitchly account to any AI agent and take full control of your organizational experience and content orchestration through natural conversation. Pitchly is the data management platform of choice for professional services firms, and this integration allows you to retrieve workspace metadata, manage custom data tables, and update critical records (deals, bios, tombstones) directly from your chat interface.

The Vercel AI SDK gives every Pitchly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Workspace & Table Orchestration — List all managed workspaces and retrieve detailed table structures programmatically to ensure your data foundation is always synchronized.
  • Record Lifecycle Management — Query, create, and update records across custom tables with detailed profile metadata directly from the AI interface to maintain high-fidelity business intelligence.
  • Content Discovery Intelligence — Search through complex data sets for specific deals, professional bios, or tombstone data via natural language to drive better research efficiency.
  • Data Ingestion Control — Automate the creation of new records and manage organizational metadata using simple AI commands.
  • Operational Monitoring — Track system responses and manage workspace health to ensure your experience management is always optimized.

The Pitchly MCP Server exposes 11 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.

All 11 Pitchly tools available for Vercel AI SDK

When Vercel AI SDK connects to Pitchly through Vinkius, your AI agent gets direct access to every tool listed below — spanning experience-data, professional-services, content-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_record

Add a new record to a table

delete_record

Delete a record from a table

get_record_details

Get details of a specific record

get_table_details

Get details of a specific table

get_workspace_details

Get details of a specific workspace

list_fields

List all fields in a table

list_table_records

List records in a Pitchly table

list_tables

List tables in a workspace

list_workspaces

List all Pitchly workspaces

search_records

Search records within a table

update_record

Update an existing record

Connect Pitchly to Vercel AI SDK via MCP

Follow these steps to wire Pitchly into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Pitchly and passes them to the LLM

Why Use Vercel AI SDK with the Pitchly MCP Server

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

03

Built-in streaming UI primitives let you display Pitchly 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

Pitchly + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Pitchly in Vercel AI SDK

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

01

"List all tables in my 'Corporate' workspace in Pitchly."

02

"Show me all records in the Client Engagements table that were updated this week."

03

"Create a new record in the Deal Pipeline table for the ScaleUp Technologies opportunity."

Troubleshooting Pitchly MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pitchly + Vercel AI SDK FAQ

Common questions about integrating Pitchly 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.