Can I search for a client by their email address?

Yes! Use the `list_crm_clients` tool and provide the optional email parameter. The agent will return the specific record for that client if it exists in your CRM.

How do I book a new service for an existing client?

Use the `create_new_booking` action. You'll need to provide the Client ID, the Service ID, and the start time in ISO 8601 format (e.g., 2024-12-01T10:00:00Z).

Is it possible to list all unpaid invoices via AI?

Absolutely. Use the `list_client_invoices` query. The agent will retrieve all your billing documents, and you can then ask the AI to filter or identify those with a 'pending' or 'overdue' status.

INSTANT PLUG AND PLAY

vCita MCP Server for CrewAIGive CrewAI instant access to 12 tools to Cancel Appointment, Create Crm Client, Create New Booking, and more

Name: vCita
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to vCita through Vinkius, pass the Edge URL in the `mcps` parameter and every vCita tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The vCita app connector for CrewAI is a standout in the Customer Relationship Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="vCita Specialist",
    goal="Help users interact with vCita effectively",
    backstory=(
        "You are an expert at leveraging vCita tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in vCita "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About vCita MCP Server

Connect your vCita business management account to any AI agent and simplify how you coordinate your schedule, client records, and billing through natural conversation.

When paired with CrewAI, vCita becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call vCita tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Client Management — List, search, and create new client records in your CRM with full metadata support.
Appointment Scheduling — Book new services, list upcoming appointments, and cancel existing bookings instantly via AI.
Service Catalog — Query your offered services and prices to understand your bookable offering.
Financial Tracking — Monitor your cash flow by listing invoices, payments, and price estimates sent to clients.
Team Coordination — List staff members and their roles to manage your business directory.
Operational Visibility — Check account status and connection health to ensure your business engine is running smoothly.

The vCita MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 vCita tools available for CrewAI

When CrewAI connects to vCita through Vinkius, your AI agent gets direct access to every tool listed below — spanning small-business-management, appointment-booking, client-portal, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_appointment

Cancel booking

create_crm_client

Add new customer

create_new_booking

Schedule a service

get_api_status

Get account status

get_client_details

Get client info

list_client_invoices

List all invoices

list_crm_clients

List CRM customers

list_offered_services

List bookable services

list_price_estimates

List client estimates

list_recorded_payments

List transactions

list_scheduled_appointments

List bookings

list_staff_members

List team users

Connect vCita to CrewAI via MCP

Follow these steps to wire vCita into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from vCita

Why Use CrewAI with the vCita MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with vCita through the Model Context Protocol.

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 `mcps` parameter 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

vCita + CrewAI Use Cases

Practical scenarios where CrewAI combined with the vCita MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries vCita for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries vCita, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain vCita tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries vCita against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for vCita in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with vCita immediately.

"Show me my upcoming appointments for this week."

"Search for a client with the email 'jane.doe@example.com'."

"Book a 'New Consultation' for client 'cl_10293' on Dec 1st at 10 AM."

Troubleshooting vCita MCP Server with CrewAI

Common issues when connecting vCita to CrewAI through the Vinkius, and how to resolve them.

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.

vCita + CrewAI FAQ

Common questions about integrating vCita MCP Server with CrewAI.

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.