How do I securely obtain ConnectAndSell API credentials?

You typically need to contact your organization's ConnectAndSell technical administrator or reach out directly to the official support channel to provision API access. Once authorized, secure the credentials supplied and enter them safely in this integration's configuration context below.

Can the AI place active phone calls on behalf of the sales reps?

No. This integration operates primarily in a reporting, querying, and monitoring capacity. It manages system metrics to retrieve data on usage, calling statistics, performance overviews and campaign metrics, rather than taking direct voice or real-time call control roles which structurally belong strictly within the dialer platform interface natively.

What exact statistics can be reviewed with this AI integration?

You can effectively retrieve summary counts of dials made, connection and conversion ratios, active campaign performance statuses, agent-level tallies of successful meetings set, and various log insights correlating duration of talk to explicit disposition outcomes recorded internally.

ConnectAndSell MCP Server for LangChain 6 tools — connect in under 2 minutes

Name: ConnectAndSell
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ConnectAndSell 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({
        "connectandsell": {
            "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 ConnectAndSell, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About ConnectAndSell MCP Server

Connect your conversational agent to the established ConnectAndSell platform. Efficiently monitor calling activities, track campaign success rates, and manage high-volume B2B cold calling campaigns effortlessly via text.

LangChain's ecosystem of 500+ components combines seamlessly with ConnectAndSell through native MCP adapters. Connect 6 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

Track Campaigns — Immediately instruct your agent to check live metrics for active dialing campaigns and list out agent statuses.
Review Activities — Audit logs for specific sales reps to review connection rates, talk time, and disposition outcomes.
Extract Insights — Identify which outreach lists are yielding the highest conversation ratios to optimize your CRM workflows.

The ConnectAndSell MCP Server exposes 6 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 ConnectAndSell to LangChain via MCP

Follow these steps to integrate the ConnectAndSell 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 6 tools from ConnectAndSell via MCP

Why Use LangChain with the ConnectAndSell MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine ConnectAndSell 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 ConnectAndSell queries for multi-turn workflows

ConnectAndSell + LangChain Use Cases

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

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

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

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

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

ConnectAndSell MCP Tools for LangChain (6)

These 6 tools become available when you connect ConnectAndSell to LangChain via MCP:

get_performance_summary

Supports optional date range filtering. Retrieve a summary of sales calling performance metrics

list_assigned_lists

Returns the prospect lists assigned for outbound calling sessions. Retrieve the calling lists assigned to a specific user

list_call_attempts

Supports date filtering. Retrieve history of all outbound call attempts

list_cas_users

Retrieve all users in the ConnectAndSell account

list_conversations

Supports date filtering in YYYY-MM-DD format. Retrieve history of successful connections and conversations

sync_to_crm

g. Salesforce, HubSpot). Requires the call ID and CRM type. Manually trigger a sync of call data to your connected CRM

Example Prompts for ConnectAndSell in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with ConnectAndSell immediately.

"Can you check the current statistics for our 'Q3 Outreach' ConnectAndSell dialer campaign?"

"Which SDR had the highest talk time ratio across outbound operations yesterday?"

"How many total connections were established today among all sales reps?"

Troubleshooting ConnectAndSell MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ConnectAndSell + LangChain FAQ

Common questions about integrating ConnectAndSell 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.