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 Pydantic AI 10 tools — connect in under 2 minutes

Name: CallGear
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CallGear through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to CallGear "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CallGear?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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 CallGear MCP Server

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

Pydantic AI validates every CallGear tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the CallGear MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from CallGear with type-safe schemas

Why Use Pydantic AI with the CallGear MCP Server

Pydantic AI provides unique advantages when paired with CallGear through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your CallGear integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your CallGear connection logic from agent behavior for testable, maintainable code

CallGear + Pydantic AI Use Cases

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

Type-safe data pipelines: query CallGear with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CallGear tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CallGear and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CallGear responses and write comprehensive agent tests

CallGear MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect CallGear to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting CallGear to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CallGear + Pydantic AI FAQ

Common questions about integrating CallGear MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your CallGear MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.