The next BIG thing in AI is here
Copilot.live’s AI agents now act as MCP clients. Connect to any MCP server and power your AI to perform real tasks, not just reply
What is Model Context Protocol (MCP)?
Automate at scale
Connect your Copilot.live agent to thousands of tools and APIs in a flash
Enhance AI capabilties
Let your AI agent read your docs, check your calendar and retrieve data for you
Easy integrations
Plug into your favorite tools and platforms like Boltic, Zapier, Make, n8n and more
Secure and reliable
Built with enterprise-grade security, so your AI agents stay compliant and secure
MCP client vs server explained
Powerful AI features with MCP
Trigger real actions from chat
One brain, many tools
Complete data security
Getting started
Connect to any MCP-supported tool
Explore thousands (and counting) of MCP servers that connect all your favorite tools to Copilot.live’s smart AI agents
Do more on the Copilot.live platform
Discover other platform essentials and how they transform the way you use AI agents
Frequently asked questions
You can reach out to us for queries via [email protected] or or to share feedback, fill the form here
Model Context Protocol is a standardized method that connects AI agents to thousands of business tools without lengthy coding. It transforms AI agents from efficient bots to productivity powerhouses by enabling them to access and act on real-time data across your entire software ecosystem.
Unlike traditional integrations that require individual API connections and extensive coding, MCP provides a standardized structure that works universally. This condenses days of integration work into minutes, allowing businesses to connect their AI agents to 100x more tools and platforms instantly.
MCP supports connections to thousands of tools across categories including CRMs, calendars, order management systems, support ticketing platforms, and communication tools. It also works with workflow builders like Zapier, Make, and Boltic to create powerful automation ecosystems.
MCP implements enterprise-grade data security and compliance standards. It gives highly monitored, need-based data access to AI agents and helps businesses avoid compliance headaches by ensuring AI operations remain within the latest guidelines.
No, MCP is designed to be accessible for businesses without technical expertise. The protocol allows you to skip complex API documentation and follow a standard structure that works everywhere, making integration simple through a three-step process that requires minimal technical knowledge.
With MCP, AI agents can access real-time data to provide instant, personalized responses to customer queries, automate support tickets, deliver order updates, and create hyper-personalized experiences based on user behavior and preferences—all while maintaining a seamless conversation flow.
Yes, MCP enables powerful automation capabilities including automated customer query resolution (up to 80%), real-time data retrieval and updates, personalized outreach, and smooth handovers between AI and human agents when complex issues require escalation.
Getting started with MCP through Copilot.live is a simple three-step process: Generate your MCP endpoint through workflow builders like Boltic, configure your workflow by adding tools and integrations with custom logic, and connect to your Copilot through the Copilot.live dashboard
