Can I check the calls report for a specific week using the agent?

Yes! Use the `get_calls_report` tool and provide the `date_from` and `date_to` parameters. Your agent will fetch the detailed breakdown of all communications for that period.

How do I see which marketing source is generating the most calls?

Simply ask the agent to `get_ad_campaigns_report` or `get_calls_report`. It will retrieve the statistics grouped by source or campaign, allowing you to analyze attribution instantly.

Does the integration allow listening to call recordings?

The current toolset focuses on data analytics and metadata retrieval. To listen to recordings, you should use the links provided in the CallGear dashboard or check the `link_to_record` field if available in the report results.

CallGear MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: CallGear
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="CallGear Specialist",
    goal="Help users interact with CallGear effectively",
    backstory=(
        "You are an expert at leveraging CallGear 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 CallGear "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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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 CallGear MCP Server

Connect your CallGear account to any AI agent and orchestrate your communication analytics, marketing attribution, and call tracking through natural conversation.

When paired with CrewAI, CallGear becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CallGear 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

Call Performance Oversight — Retrieve detailed reports of all incoming and outgoing calls, including sources, durations, and statuses.
Marketing Attribution — Monitor advertising campaign performance and identify which sources are driving the most communications.
Communication Analysis — Get broader reports covering calls, chats, and other interactions to ensure service quality.
Infrastructure Coordination — Access and monitor your traffic sources, call scenarios, and tags directly from your workspace.
User & Team Oversight — List all users in your CallGear account to maintain visibility across your team.
Real-time Statistics — Retrieve daily site and campaign stats straight from your workspace.

The CallGear MCP Server exposes 10 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.

How to Connect CallGear to CrewAI via MCP

Follow these steps to integrate the CallGear MCP Server with CrewAI.

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 10 tools from CallGear

Why Use CrewAI with the CallGear MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with CallGear 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

CallGear + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries CallGear 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 CallGear, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain CallGear 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 CallGear against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

CallGear MCP Tools for CrewAI (10)

These 10 tools become available when you connect CallGear to CrewAI via MCP:

get_account_info

Retrieve core account information

get_ad_campaigns_report

Retrieve daily aggregated statistics for advertising campaigns

get_calls_report

Retrieve a detailed report of calls for a specific period

get_communications_report

Retrieve a report covering various communication types (calls, chats, etc.)

get_site_daily_stats

Retrieve daily statistics for sites

list_ad_campaigns

List all advertising campaigns

list_call_scenarios

List all configured call scenarios

list_tags

List all call and communication tags

list_traffic_sources

List all traffic sources configured in CallGear

list_users

List all users in the CallGear account

Example Prompts for CallGear in CrewAI

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

"Show the calls report from March 1st to March 7th."

"Which advertising campaigns are active right now?"

"Show daily stats for my website for the last 3 days."

Troubleshooting CallGear MCP Server with CrewAI

Common issues when connecting CallGear 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.

CallGear + CrewAI FAQ

Common questions about integrating CallGear 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.