Bring B2b Data
to CrewAI
Learn how to connect Apollo.io to CrewAI 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 CrewAI?
When paired with CrewAI, Apollo.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Apollo.io tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Apollo.io in CrewAI
Apollo.io and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Apollo.io to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.