3,400+ MCP servers ready to use
Vinkius

Bring Lead Management
to Vercel AI SDK

Learn how to connect Close to Vercel AI SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create LeadGet Current UserGet Lead DetailsList Crm TasksList LeadsList Opportunities

What is the Close MCP Server?

Connect your Close CRM account to any AI agent and take full control of your sales workflows through natural conversation.

What you can do

  • Lead Management — List all leads in your pipeline and retrieve full company profiles with contacts, custom fields, and activity history
  • Lead Creation — Add new leads directly from conversation, including company name and website URL
  • Opportunity Tracking — Monitor your active deals with stage, value, and expected close dates
  • Task Management — Review pending and completed CRM tasks to stay on top of follow-ups
  • User Context — Retrieve your authenticated user profile to understand your current permissions and role

How it works

1. Subscribe to this server
2. Enter your Close API Key from Settings > Developer > API Keys
3. Start managing your sales pipeline from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Sales Representatives — query your pipeline, check lead details, and create new prospects without leaving your AI workspace
  • Sales Managers — monitor team opportunities and task completion rates through conversational analytics
  • Revenue Operations — automate lead creation workflows and pipeline visibility across the organization

Built-in capabilities (6)

create_lead

Create a new lead

get_current_user

Get information about the authenticated API user

get_lead_details

Get details of a specific lead

list_crm_tasks

List CRM tasks

list_leads

List all leads in Close CRM

list_opportunities

List sales opportunities

Why Vercel AI SDK?

The Vercel AI SDK gives every Close tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • 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 Close integration everywhere

  • Built-in streaming UI primitives let you display Close 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

See it in action

Close in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Close and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Close to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Close in Vercel AI SDK

The Close 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Close
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Close for Vercel AI SDK

Every tool call from Vercel AI SDK to the Close MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I create new leads directly through the AI agent?

Yes! The create_lead tool accepts a company name and an optional website URL. Your agent will create the lead record in Close and return the new Lead ID for immediate reference.

02

How does the API authentication work with Close?

Close uses HTTP Basic Authentication. Your API Key is sent as the username with an empty password. Navigate to Settings > Developer > API Keys in your Close dashboard to generate a new key. The key is encrypted at rest and injected securely at runtime.

03

Can I view my sales opportunities and their current stages?

Yes. The list_opportunities tool retrieves all active deals in your pipeline, including stage name, expected value, probability, and projected close date. Combine it with list_crm_tasks to check pending follow-ups associated with each opportunity.

04

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.

05

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.

06

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.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp