Integrate ConnectAndSell with Claude, Cursor, Chatbots & AI Agents MCP Server

Empower your conversational AI to interact with and review metrics from ConnectAndSell's B2B sales acceleration dialer.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get performance summary on ConnectAndSell

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

list

List assigned lists on ConnectAndSell

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

list

List call attempts on ConnectAndSell

Supports date filtering. Retrieve history of all outbound call attempts

list

List cas users on ConnectAndSell

Retrieve all users in the ConnectAndSell account

list

List conversations on ConnectAndSell

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

sync

Sync to crm on ConnectAndSell

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

Security & Code Integrity Audit

Every tool in the ConnectAndSell MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

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 if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Triggering ConnectAndSell via Natural Language

The ConnectAndSell MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Cursor Copilot for b2b sales

Connect ConnectAndSell to provide your chatbots with b2b sales capabilities. The integration manages the backend execution for sales automation workflows.

Mastering cold calling with Agents

The ConnectAndSell toolkit translates Claude's commands into cold calling operations. The MCP server ensures accurate delivery within the sales automation ecosystem.

ConnectAndSell. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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