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 LangChain 10 tools — connect in under 2 minutes

Name: CallGear
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect CallGear through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "callgear": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using CallGear, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with CallGear through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from CallGear via MCP

Why Use LangChain with the CallGear MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine CallGear MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across CallGear queries for multi-turn workflows

CallGear + LangChain Use Cases

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

RAG with live data: combine CallGear tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query CallGear, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain CallGear tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every CallGear tool call, measure latency, and optimize your agent's performance

CallGear MCP Tools for LangChain (10)

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CallGear + LangChain FAQ

Common questions about integrating CallGear MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.