MCP (Model Context Protocol)
Definition
MCP (Model Context Protocol) is an open protocol that standardizes how AI models interact with external tools and services. Instead of building custom integrations for every tool, MCP provides a universal interface: tools expose their capabilities, and AI models call them through structured requests and responses. JieGou uses MCP for browser automation and external tool integration.
How MCP Works
MCP follows a client-server architecture. An MCP server exposes a set of tools — each with a name, description, and input schema. An MCP client (like JieGou) discovers available tools, selects the right one for a task, and calls it with structured parameters. The server executes the tool and returns structured results. This standardization means any MCP-compatible tool can work with any MCP-compatible AI platform without custom integration code.
Browser Automation via MCP
JieGou's browser extension is an MCP client with 60+ browser automation tools. These tools can click elements, read page content, fill forms, capture screenshots, and navigate between pages. Platform-specific handlers provide higher-level operations for Gmail (read/send emails), Slack (post messages), Jira (create/update issues), and other common tools. This lets AI workflows interact with web applications that do not have APIs.
MCP vs. Traditional API Integrations
Traditional integrations require building and maintaining a custom connector for each service. MCP inverts this: services expose their capabilities through a standard protocol, and the AI platform discovers and uses them dynamically. This is particularly valuable for browser-based tools that lack APIs, internal tools with non-standard interfaces, and scenarios where the AI needs to adapt its tool usage based on context.
MCP in JieGou Workflows
MCP tools can be used within JieGou recipes and workflows. A recipe might use an MCP tool to read data from a web page, process it with an LLM, and then use another MCP tool to update a record. The browser extension connects to the MCP server via WebSocket, making browser automation available as a recipe step. This bridges the gap between AI reasoning and real-world tool interaction.
The Future of MCP
MCP is an emerging standard with growing adoption across AI platforms and tool providers. As more services expose MCP-compatible interfaces, AI automation becomes more powerful without requiring custom integration work. JieGou's early investment in MCP means users benefit from new tool integrations as they become available, without waiting for platform-specific connector development.
Related Terms
AI Recipes
Learn what AI recipes are and how they work in JieGou. Recipes are reusable, single-operation AI building blocks with structured inputs and outputs.
AI Workflows
Learn what AI workflows are and how they automate multi-step processes. Workflows chain recipes with branching, loops, approval gates, and parallel execution.
BYOK (Bring Your Own Key)
Learn what BYOK means for AI automation. Bring Your Own Key lets you connect your own LLM API keys to JieGou for full cost control and data privacy.