Bring Lead Capture
to CrewAI
Learn how to connect Clientify to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Clientify MCP Server?
Connect your Clientify CRM account to any AI agent and streamline your entire sales process through natural conversation.
What you can do
- Contact Management — List, create, and update contacts with deep inspection of custom fields and social metadata.
- Sales Pipelines — Track deals across different stages, update amounts, and assign opportunities to specific pipelines.
- Task Scheduling — Create and manage activities like calls, meetings, and follow-ups to never miss a lead.
- Team Visibility — List account users and collaborators to understand your organizational structure.
- Automated Insights — Fetch real-time summaries of your sales activities and deal progress.
How it works
1. Subscribe to this server
2. Enter your Clientify API Token (found in your account settings under API)
3. Start managing your sales machine from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Sales Reps — quickly update deal statuses and log call notes without manual CRM data entry.
- Marketing Managers — query contact segments and verify campaign leads directly from your workspace.
- Business Owners — get instant bird's-eye views of your sales pipelines and team activity levels.
Built-in capabilities (10)
Create a new activity or task
Create a new contact in Clientify
Create a new sales deal
Get details for a specific contact
List all tasks and activities
Supports filtering by email for precise lookups. List all contacts from Clientify
List all deals/opportunities
List all deal pipelines
List all account users
Update an existing contact
Why CrewAI?
When paired with CrewAI, Clientify becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Clientify 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
Clientify in CrewAI
Clientify and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Clientify 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 Clientify in CrewAI
The Clientify 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 10 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
Clientify for CrewAI
Every tool call from CrewAI to the Clientify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for a contact using only their email address?
Yes. Use the list_contacts tool and provide the email in the optional parameter. The agent will return the specific contact record associated with that email if it exists in your CRM.
How do I move a deal to a different stage in the pipeline?
You can update deal details using our action tools. Simply specify the Deal ID and the new Pipeline Stage ID to transition the opportunity instantly.
Does this integration support creating new tasks for follow-ups?
Absolutely. The create_activity tool allows you to schedule calls, meetings, or tasks, assign them to contacts, and set due dates directly from the 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.