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Persana AI MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Lead List, Delete Lead List, Enrich Company, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Persana AI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Persana AI app connector for LlamaIndex 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

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Persana AI. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Persana AI?"
    )
    print(response)

asyncio.run(main())
Persana AI
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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DLPData protection
V8 IsolateSandboxed
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<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

About 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.

LlamaIndex agents combine Persana AI tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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.

The Persana AI MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex 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 Persana AI tools available for LlamaIndex

When LlamaIndex connects to Persana AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-scoring, outbound-sales, intent-signals, 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_lead_list

Create a new lead list

delete_lead_list

Delete a lead list

enrich_company

Pass data as a JSON string. Enrich company data

enrich_person

Pass data as a JSON string. Enrich person data

find_job_changes

Find recent job changes in your target accounts

get_lead_list

Get specific lead list details

get_signals

Get sales intent signals

list_lead_lists

List all lead lists

lookup_email

Verify and lookup emails

search_people

Search for people by criteria

verify_email

Verify if an email address is deliverable

Connect Persana AI to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Persana AI

Why Use LlamaIndex with the Persana AI MCP Server

LlamaIndex provides unique advantages when paired with Persana AI through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Persana AI tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Persana AI tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Persana AI, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Persana AI tools were called, what data was returned, and how it influenced the final answer

Persana AI + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Persana AI MCP Server delivers measurable value.

01

Hybrid search: combine Persana AI real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Persana AI to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Persana AI for fresh data

04

Analytical workflows: chain Persana AI queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Persana AI in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Persana AI immediately.

01

"Enrich the prospect with LinkedIn URL 'https://linkedin.com/in/robert-chen'."

02

"Enrich the professional profile for sarah.chen@meridian.io with company and social data."

03

"Find all job changes in my target account list from the last 30 days."

Troubleshooting Persana AI MCP Server with LlamaIndex

Common issues when connecting Persana AI to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Persana AI + LlamaIndex FAQ

Common questions about integrating Persana AI MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Persana AI tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.