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 LlamaIndex 10 tools — connect in under 2 minutes

Name: CallGear
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CallGear as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to CallGear. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine CallGear tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the CallGear MCP Server

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

Data-first architecture: LlamaIndex agents combine CallGear tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain CallGear tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query CallGear, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what CallGear tools were called, what data was returned, and how it influenced the final answer

CallGear + LlamaIndex Use Cases

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

Hybrid search: combine CallGear real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query CallGear to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CallGear for fresh data

Analytical workflows: chain CallGear queries with LlamaIndex's data connectors to build multi-source analytical reports

CallGear MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect CallGear to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

CallGear + LlamaIndex FAQ

Common questions about integrating CallGear MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query CallGear tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.