# Persana AI MCP > Persana AI gives your agent deep B2B sales insights, turning raw contact data into actionable leads. It researches companies and people, tracks real-time buying signals, verifies emails, and builds highly enriched prospect profiles automatically. ## Overview - **Category:** industry-titans - **Price:** Free - **Tags:** lead-scoring, outbound-sales, intent-signals, prospecting, sales-pipeline, automation ## Description Connect Persana AI to any compatible client and take charge of your outbound sales strategy directly from your chat interface. This MCP gives you deep visibility into target accounts—it finds firmographic details, monitors job changes, and identifies active buying signals across entire organizations. You can verify emails and retrieve detailed lead metadata without leaving your agent or switching tabs. By connecting through Vinkius, the #1 MCP Catalog, you get immediate access to this powerful intelligence alongside thousands of other business tools. Your AI acts like a dedicated sales scout, allowing you to prioritize outreach based on who is changing jobs or showing signs they need new technology. ## Tools ### enrich_company Passes a JSON string to pull detailed firmographic information about an entire company. ### enrich_person Passes a JSON string to gather professional background and contact details for an individual. ### get_lead_list Retrieves the specific contents of one of your existing organized lead lists. ### get_signals Pulls current sales intent signals for a target account to show buying readiness. ### list_lead_lists Lists all the lead lists you have saved so you can pick which one to work with. ### lookup_email Performs a comprehensive email verification process for any given address. ### create_lead_list Sets up and names a brand new lead list within your Persana account. ### delete_lead_list Removes an existing, empty, or outdated lead list entirely. ### find_job_changes Searches your target accounts for recent job changes, like promotions or lateral moves. ### search_people Finds specific people within your network using various search criteria. ### verify_email Checks if a provided email address is technically deliverable and valid for outreach. ## Prompt Examples **Prompt:** ``` Enrich the prospect with LinkedIn URL 'https://linkedin.com/in/robert-chen'. ``` **Response:** ``` I've enriched the profile for Robert Chen. He is the 'VP of Engineering' at 'CloudScale'. I found his verified work email (robert@cloudscale.io) and identified 3 recent buying signals for his organization. Would you like a summary of the organization's growth? ``` **Prompt:** ``` Enrich the professional profile for sarah.chen@meridian.io with company and social data. ``` **Response:** ``` Profile enriched for sarah.chen@meridian.io. Name: Sarah Chen, VP of Engineering at Meridian Corp (Series B, 180 employees). Location: San Francisco, CA. LinkedIn: 2,400+ connections. Previous: Senior Engineer at DataFlow (3 years). Company revenue: $24M ARR. Tech stack detected: React, AWS, PostgreSQL. Buying signal: Recently posted about scaling infrastructure challenges. ``` **Prompt:** ``` Find all job changes in my target account list from the last 30 days. ``` **Response:** ``` 23 job changes detected in your target accounts over the last 30 days. Notable moves: James Park joined Acme Corp as CTO (previously VP Eng at TechFlow). Lisa Wang became Head of Product at ScaleUp. 8 new VP-level hires detected across your enterprise accounts. 5 contacts left their companies entirely. These represent high-value outreach opportunities since new decision-makers often evaluate tooling within the first 90 days. ``` ## Capabilities ### Enriching Company Profiles It pulls over 100 firmographic data points and professional background details for any company you specify. ### Tracking Buying Signals Your agent monitors real-time intent signals and detects job changes within your target accounts so you know exactly when to reach out. ### Verifying Contact Emails It runs waterfall email verification, confirming an address is deliverable and accurate using natural language commands. ### Searching Contacts You can search for people across your target accounts based on specific criteria to find key decision-makers quickly. ### Managing Lead Lists The MCP lets you access, list, and create organized lead lists so all your prospects stay in one place. ## Use Cases ### Starting a campaign on an old account. A team member needs to re-engage a key client but can't remember who the current decision-maker is. They ask their agent to 'find_job_changes' for that company, and it immediately reports that the VP of Engineering changed last week, providing a fresh contact name and title. ### Qualifying a list before outreach. Before sending emails to 50 prospects, an SDR uses 'lookup_email' on the entire batch. The MCP runs waterfall verification, filtering out all addresses that aren't deliverable and saving hours of manual cleanup. ### Deep-diving into a single prospect. An AE is given a name and company. They ask their agent to 'enrich_person'. The MCP returns the person's role, past employers, current tech stack, and even flags a recent buying signal related to scaling infrastructure. ### Building out new pipeline segments. A marketer needs data for a new vertical. They use 'search_people' with specific criteria (e.g., 'FinTech' + 'CTO') and then run 'enrich_company' on the resulting accounts to build a highly qualified list. ## Benefits - You stop manual research. Instead of switching between multiple tabs to find a company's size or tech stack, you just ask your agent for it and get over 100 firmographic data points instantly. - Your outreach hits harder because you know when to message. The MCP tracks job changes using tools like 'find_job_changes', letting you reach new decision-makers the moment they start a new role. - You save time on bad emails. Using 'verify_email' or 'lookup_email' ensures that every contact you try to reach actually has an accurate, deliverable work email address. - Your pipeline stays organized and clean. You can use tools like 'list_lead_lists' and 'create_lead_list' to keep your prospect data structured and ready for campaigns. - You always know what matters most. The MCP monitors buying signals through the 'get_signals' tool, telling you which accounts are showing active interest—the absolute highest priority leads. ## How It Works The bottom line is that you tell your agent what information you need, and it pulls complex sales intelligence from Persana AI into a simple, conversational answer. 1. Subscribe to this MCP and enter your Persana AI key into your agent's settings. 2. Prompt your agent with a request, like 'Enrich the profile for X', providing the necessary identifier or URL. 3. The MCP executes the research, pulling back detailed company data, verified emails, and recent buying signals directly to your chat window. ## Frequently Asked Questions **How does Persana AI MCP help me find out if someone changed jobs?** The 'find_job_changes' tool monitors your target accounts and alerts you to recent role shifts, making it easy to reach new decision-makers right after a promotion or lateral move. **Can I use Persana AI MCP to verify an entire list of emails?** Yes. You can run 'lookup_email' on groups of addresses, and the MCP performs waterfall verification to ensure high accuracy and deliverability for your outreach. **What kind of data does enrich_company provide?** The 'enrich_company' tool gathers over 100 firmographic details, giving you a full picture of the company’s size, revenue indicators, and tech stack. **Is Persana AI MCP just for finding contacts?** No. Beyond contact discovery, it monitors buying signals using 'get_signals', telling you when an account is actively showing interest in new solutions. **How does list_lead_lists work with my existing data?** You can use 'list_lead_lists' to see all your saved prospect groups, and then 'get_lead_list' to pull the metadata from a specific, organized group for immediate action.