Bring Lead Scoring
to Vercel AI SDK
Learn how to connect Persana AI to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Persana AI MCP Server?
Connect your Persana AI account to any AI agent and take full control of your outbound sales orchestration and lead intelligence through natural conversation. Persana AI provides a powerful platform for finding deep B2B insights, tracking real-time buying signals (like job changes or funding), and maintaining a high-fidelity sales pipeline.
What you can do
- Lead & Account Enrichment — Retrieve 100+ firmographic data points and professional backgrounds programmatically to ensure your prospecting is always synchronized.
- Intent & Buying Signal Tracking — Monitor real-time intent signals and job changes across your target accounts directly from the AI interface to prioritize your outreach.
- Email Lookup & Verification — Perform waterfall email verification to ensure high deliverability and accuracy via natural language.
- Lead List Management — Access and monitor your organized lead lists and retrieve detailed prospect metadata using simple AI commands.
- Operational Monitoring — Track system responses and manage organizational metadata to ensure your sales workflows are always optimized.
How it works
1. Subscribe to this server
2. Enter your Persana AI Key from your dashboard settings
3. Start enriching leads and tracking signals from Claude, Cursor, or any MCP-compatible client
No more manual signal monitoring or searching through disparate data sources. Your AI acts as a dedicated sales scout or lead intelligence coordinator.
Who is this for?
- Sales Development (SDRs) — quickly retrieve prospect summaries and monitor intent signals without switching apps.
- Account Executives (AEs) — automate the tracking of key account changes and prioritize outreach via natural conversation.
- Growth Marketers — streamline the retrieval of enriched lead data and monitor organizational health directly within the chat.
Built-in capabilities (11)
Create a new lead list
Delete a lead list
Pass data as a JSON string. Enrich company data
Pass data as a JSON string. Enrich person data
Find recent job changes in your target accounts
Get specific lead list details
Get sales intent signals
List all lead lists
Verify and lookup emails
Search for people by criteria
Verify if an email address is deliverable
Why Vercel AI SDK?
The Vercel AI SDK gives every Persana AI 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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Persana AI integration everywhere
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Built-in streaming UI primitives let you display Persana AI tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Persana AI in Vercel AI SDK
Persana AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Persana AI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Persana AI in Vercel AI SDK
The Persana AI 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 11 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.

* 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
How Vinkius secures
Persana AI for Vercel AI SDK
Every tool call from Vercel AI SDK to the Persana AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the verified email for a prospect by their LinkedIn URL?
Yes! Use the enrich_person tool. Provide the LinkedIn URL, and your agent will respond with complete metadata, including firmographics and waterfall-verified email addresses in seconds.
How do I find my Persana AI Key?
Log in to your Persana AI dashboard, navigate to Settings > API Keys, and you will find your unique secret token there.
What are 'Intent Signals'?
Intent signals are real-time alerts about key account activities, such as a company raising a new funding round or a decision-maker starting a new role, allowing for perfectly timed outreach.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
