Bring B2b Sales
to CrewAI
Learn how to connect ConnectAndSell to CrewAI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the ConnectAndSell MCP Server?
Connect your conversational agent to the established ConnectAndSell platform. Efficiently monitor calling activities, track campaign success rates, and manage high-volume B2B cold calling campaigns effortlessly via text.
What you can do
- Track Campaigns — Immediately instruct your agent to check live metrics for active dialing campaigns and list out agent statuses.
- Review Activities — Audit logs for specific sales reps to review connection rates, talk time, and disposition outcomes.
- Extract Insights — Identify which outreach lists are yielding the highest conversation ratios to optimize your CRM workflows.
How it works
1. Append this integration securely to your AI application.
2. Authorize using active ConnectAndSell API credentials.
3. Chat seamlessly via natural language to audit your business-to-business calling cadence.
Who is this for?
- Sales Managers — Daily assessment of representative activities without pulling reports manually from external dashboards.
- SDR Leaders — Quickly check active lists and prioritize campaign flows through continuous AI monitoring and reporting.
- Operations Teams — Combine calling stats natively into larger operational narratives reported within an AI environment.
Built-in capabilities (6)
Supports optional date range filtering. Retrieve a summary of sales calling performance metrics
Returns the prospect lists assigned for outbound calling sessions. Retrieve the calling lists assigned to a specific user
Supports date filtering. Retrieve history of all outbound call attempts
Retrieve all users in the ConnectAndSell account
Supports date filtering in YYYY-MM-DD format. Retrieve history of successful connections and conversations
g. Salesforce, HubSpot). Requires the call ID and CRM type. Manually trigger a sync of call data to your connected CRM
Why CrewAI?
When paired with CrewAI, ConnectAndSell becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ConnectAndSell tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
- —
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ConnectAndSell in CrewAI
ConnectAndSell and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ConnectAndSell 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 ConnectAndSell in CrewAI
The ConnectAndSell 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 6 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
ConnectAndSell for CrewAI
Every tool call from CrewAI to the ConnectAndSell 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 securely obtain ConnectAndSell API credentials?
You typically need to contact your organization's ConnectAndSell technical administrator or reach out directly to the official support channel to provision API access. Once authorized, secure the credentials supplied and enter them safely in this integration's configuration context below.
Can the AI place active phone calls on behalf of the sales reps?
No. This integration operates primarily in a reporting, querying, and monitoring capacity. It manages system metrics to retrieve data on usage, calling statistics, performance overviews and campaign metrics, rather than taking direct voice or real-time call control roles which structurally belong strictly within the dialer platform interface natively.
What exact statistics can be reviewed with this AI integration?
You can effectively retrieve summary counts of dials made, connection and conversion ratios, active campaign performance statuses, agent-level tallies of successful meetings set, and various log insights correlating duration of talk to explicit disposition outcomes recorded internally.
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.