CRM PipeRun MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Activity, Delete Activity, Delete File, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CRM PipeRun through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The CRM PipeRun MCP Server for Vercel AI SDK is a standout in the Sales Automation 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
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 CRM PipeRun, 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 CRM PipeRun MCP Server
Connect your PipeRun CRM account to any AI agent to streamline your sales operations through natural conversation.
The Vercel AI SDK gives every CRM PipeRun 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
- Activity Management — List, create, update, and delete tasks or appointments to keep your sales momentum.
- File Handling — Upload documents to deals, persons, or companies, and manage existing attachments effortlessly.
- Activity Types — Explore and categorize your interactions using specific activity types defined in your CRM.
- Detailed Inspection — Retrieve full metadata for specific activities or files to get the context you need.
The CRM PipeRun MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 CRM PipeRun tools available for Vercel AI SDK
When Vercel AI SDK connects to CRM PipeRun through Vinkius, your AI agent gets direct access to every tool listed below — spanning crm, sales-pipeline, activity-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create activity on CRM PipeRun
Create a new activity
Delete activity on CRM PipeRun
Delete an activity
Delete file on CRM PipeRun
Delete a file from PipeRun
Get activity on CRM PipeRun
Get details for a specific activity
Get activity type on CRM PipeRun
Get details for a specific activity type
Get file on CRM PipeRun
Get details for a specific file
List activities on CRM PipeRun
List activities (tasks and appointments)
List activity types on CRM PipeRun
List all activity types
List files on CRM PipeRun
Supports pagination and filtering. List files attached to deals, persons, or companies
Update activity on CRM PipeRun
Update an existing activity
Upload file on CRM PipeRun
Requires base64 encoded file content. Upload a file to a deal, person, or company
Connect CRM PipeRun to Vercel AI SDK via MCP
Follow these steps to wire CRM PipeRun into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the CRM PipeRun MCP Server
Vercel AI SDK provides unique advantages when paired with CRM PipeRun 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 CRM PipeRun integration everywhere
Built-in streaming UI primitives let you display CRM PipeRun 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
CRM PipeRun + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CRM PipeRun MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CRM PipeRun in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CRM PipeRun tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CRM PipeRun capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CRM PipeRun through natural language queries
Example Prompts for CRM PipeRun in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CRM PipeRun immediately.
"List my activities for today from PipeRun."
"Upload this proposal to deal ID 12345."
"Create a new meeting activity for tomorrow morning."
Troubleshooting CRM PipeRun MCP Server with Vercel AI SDK
Common issues when connecting CRM PipeRun to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCRM PipeRun + Vercel AI SDK FAQ
Common questions about integrating CRM PipeRun 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.Explore More MCP Servers
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