Bring Dialer
to CrewAI
Learn how to connect Adversus to CrewAI and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Adversus MCP Server?
Connect your Adversus account to any AI agent and take full control of your outbound sales operations, telemarketing, and CRM orchestration through natural conversation.
What you can do
- Campaign Orchestration — List all telemarketing and outreach campaigns programmatically, retrieving detailed status, high-fidelity metadata, and performance metrics in real-time
- Lead Execution Intelligence — Programmatically add new contacts and leads to specific campaigns to coordinate your automated dialer and outreach strategy
- Contact Database Management — Access complete directories of leads and contacts assigned to campaigns, retrieving high-fidelity profile metadata and relationship history
- Project & Team Visibility — Access configured CRM projects and associated campaigns to maintain a perfectly coordinated sales pipeline
- Operational Monitoring — Access high-fidelity metadata for account agents and verify API connectivity directly through your agent for instant operational reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Adversus dashboard (Account Settings > API)
3. Start orchestrating your outbound sales pipeline from Claude, Cursor, or any MCP client
No more manual toggling between dialer tabs or digging through complex lead tables. Your AI acts as your dedicated sales operations coordinator and lead architect.
Who is this for?
- Sales Operations Leads — instantly retrieve campaign performance recaps and manage lead distribution using natural language commands
- Telemarketing Managers — coordinate agent assignments and monitor campaign health without leaving your workspace
- Business Developers — automate the ingestion of new leads into specialized outreach campaigns through simple AI queries
Built-in capabilities (7)
Add a new contact to a campaign
Get details for a specific campaign
List team users
List global leads
List contacts in a campaign
List Adversus campaigns
List projects
Why CrewAI?
When paired with CrewAI, Adversus becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Adversus 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
Adversus in CrewAI
Adversus and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Adversus 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 Adversus in CrewAI
The Adversus 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 7 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
Adversus for CrewAI
Every tool call from CrewAI to the Adversus 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 Adversus API Key?
Log in to your account, navigate to Account Settings > API, and generate or copy your unique API Key.
Can I add a contact to a specific campaign via AI?
Yes! The add_contact_to_campaign tool allows your agent to register new leads programmatically by providing the campaign ID and phone number.
How do I check my global leads?
Use the list_active_leads tool to retrieve a comprehensive directory of all contacts across your entire Adversus account.
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.