Bring B2b Data
to LlamaIndex
Learn how to connect Apollo.io to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Apollo.io MCP Server?
Connect your Apollo.io account to any AI agent and take full control of your B2B prospecting and sales engagement workflows through natural conversation.
What you can do
- Prospect Orchestration — Search through a massive database of professionals by title, location, and company domains programmatically in real-time
- Data Enrichment Intelligence — Programmatically retrieve verified email addresses, phone numbers, and high-fidelity social metadata for any contact or company
- Sequence Lifecycle Management — Enroll qualified leads into automated email sequences and monitor your sales outreach pipeline directly through your agent
- Company Architecture — Access deep firmographic data, including revenue, headcount, and technology stacks to maintain a perfectly coordinated account strategy
- Operational Monitoring — Track your remaining search and enrichment credits and monitor API connectivity directly through your agent for instant reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Apollo dashboard (Settings > Integrations > API)
3. Start orchestrating your sales pipeline from Claude, Cursor, or any MCP client
No more manual toggling between browser tabs to find emails or check prospect status. Your AI acts as your dedicated sales analyst and outreach coordinator.
Who is this for?
- Sales Development (SDRs) — instantly build highly targeted prospect lists using natural language commands
- Account Executives (AEs) — enrich key account metadata and monitor buying intent without leaving your creative workspace
- Growth Marketers — automate lead enrichment and sequence enrollment through simple AI queries
Built-in capabilities (12)
Enroll contact in sequence
Get company metadata
Get full profile details
Get API and account status
Get usage and credits
Get contact by ID
Get sender accounts
List email sequences
List your contacts
List account users
Find organizations
Find prospects
Why LlamaIndex?
LlamaIndex agents combine Apollo.io tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
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Data-first architecture: LlamaIndex agents combine Apollo.io tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Apollo.io tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Apollo.io, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Apollo.io tools were called, what data was returned, and how it influenced the final answer
Apollo.io in LlamaIndex
Apollo.io and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Apollo.io to LlamaIndex 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 Apollo.io in LlamaIndex
The Apollo.io 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 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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
Apollo.io for LlamaIndex
Every tool call from LlamaIndex to the Apollo.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Apollo API Key?
Log in to your account, navigate to Settings > Integrations > API, and generate or copy your unique personal token.
Can I enrich a company by its domain via AI?
Yes! The enrich_company_data tool allows your agent to retrieve high-fidelity metadata like revenue and tech stack using just the company domain.
How do I check my remaining credits?
Use the get_credit_info tool to retrieve real-time data on your search and enrichment quotas directly through your AI agent.
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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Apollo.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp