Bring B2b Prospecting
to LangChain
Learn how to connect AeroLeads to LangChain 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 AeroLeads MCP Server?
Connect your AeroLeads account to any AI agent and take full control of your B2B lead generation and high-fidelity contact enrichment workflows through natural conversation.
What you can do
- Verified Email Orchestration — Instantly find professional email addresses using prospect names and company domains with high-fidelity verification status
- LinkedIn Enrichment Intelligence — Programmatically retrieve over 60 data points from LinkedIn URLs, including verified phone numbers, job roles, and skills
- Prospect Lifecycle Management — List and manage your captured leads programmatically, or create new high-fidelity records directly through your agent
- Domain Discovery Architecture — Find all professional contacts associated with a specific company domain to identify key decision-makers programmatically
- Operational Monitoring — Track your remaining account credits and monitor team activity directly through your agent for instant performance reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from your AeroLeads dashboard (Settings > API Key)
3. Start orchestrating your prospecting pipeline from Claude, Cursor, or any MCP client
No more manual toggling between browser extensions or guessing prospect emails. Your AI acts as your dedicated sales development representative and data architect.
Who is this for?
- SDRs & Recruiters — instantly build high-fidelity prospect lists and enrich LinkedIn profiles using natural language commands
- Marketing Managers — automate lead generation for outreach campaigns and monitor account credits without leaving your workspace
- Growth Leads — integrate high-speed B2B contact data into custom data pipelines through simple AI queries
Built-in capabilities (12)
Manually add lead
Remove captured lead
Find email by name
Get profile info
Get credit status
Get full lead info
Enrich LinkedIn profile
List your leads
List lead lists
List account users
List active webhooks
Find leads in domain
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with AeroLeads through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine AeroLeads MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across AeroLeads queries for multi-turn workflows
AeroLeads in LangChain
AeroLeads and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect AeroLeads to LangChain 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 AeroLeads in LangChain
The AeroLeads 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 LangChain 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
AeroLeads for LangChain
Every tool call from LangChain to the AeroLeads 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 AeroLeads API Key?
Log in to your account, navigate to Settings > API Key, and copy your unique personal token.
Does searching consume account credits?
Yes! Each high-fidelity email search or LinkedIn enrichment typically consumes 1 credit from your available balance.
How do I check my remaining credits via AI?
Use the get_credit_balance tool to retrieve real-time information about your current credits and usage limits.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters