Model Context Protocol (MCP)
An open standard that connects AI models with specialized servers, enabling context sharing and tool-use across different platforms and applications.
What is MCP?
Model Context Protocol (MCP) is an open standard for connecting AI models to specialized servers. It enables seamless context sharing and functionality extensions across different AI platforms and applications.
With MCP, developers can create servers that provide specialized functionality to AI models, while users can connect these servers to compatible AI interfaces like Claude for Desktop.
Key Advantages
- Specialized server capabilities - Extend AI functionality with custom tools, data sources, and workflows
- Decentralized ecosystem - Multiple servers can work together, each providing different capabilities
- Privacy-focused - Control exactly what information is shared with AI models
- Standardized communication - Common protocol enables compatibility across different platforms
- Cross-platform support - Works with various AI models and interfaces supporting the MCP standard
- Multiple SDKs available - Official SDKs for Python, TypeScript, Java, Kotlin, C#, and Swift
MCP Technical Overview
Core Components
MCP defines a standardized way for AI models to interact with specialized servers, enabling enhanced functionality.
Key elements of the protocol include:
- Resources - Data that servers can provide to AI models
- Tools - Actions that AI models can perform through servers
- Prompts - Reusable templates for consistent AI interactions
- Transports - Communication mechanisms (HTTP, WebSockets)
- Lifecycle - Defined patterns for initialization, messaging, and termination
Architecture
MCP follows a client-server architecture with clearly defined roles:
- MCP Clients - Applications like Claude for Desktop that interact with MCP servers and AI models
- MCP Servers - Specialized systems that provide functionality to AI models
- AI Models - Large language models like Claude that can leverage MCP server capabilities
Our product creates a specialized MCP server focused on professional profiles and career context, allowing AI assistants to better understand your professional background.
Our Professional Profile MCP Server
We build a specialized MCP server that provides your professional profile context to AI assistants, enabling personalized career guidance, interview practice, and more.
Resume & Professional Context
Upload your resume and LinkedIn profile once, then share this context with any MCP-compatible AI assistant.
MCP Compatibility
Works with Claude for Desktop and other MCP-compatible AI interfaces, with no additional setup needed.
Privacy Controls
Control exactly what professional information is shared with AI assistants, maintaining your privacy.
How to Use Our MCP Server
- 1Create your profile
Upload your resume, connect LinkedIn, and add your professional information.
- 2Get your personal MCP server URL
We'll provide a unique URL that connects to your professional profile MCP server.
- 3Connect to Claude for Desktop or other MCP clients
Simply paste your MCP server URL into Claude for Desktop or any compatible MCP client.
- 4Use AI with your professional context
AI assistants can now access your professional background, enabling personalized career advice, interview practice, and more.
MCP Developer Resources
Model Context Protocol is an open ecosystem with extensive documentation and SDKs for multiple languages.
Ready to Get Started?
Create your professional profile MCP server now and connect your background to AI assistants for enhanced, personalized interactions.