MCPLite is a lightweight Python framework designed to create MCP (Multimodal Capabilities Protocol) servers. It allows developers to define, expose, and run server-side capabilities like functions or resources that AI agents can invoke programmatically. It supports multiple transport mechanisms and simplifies server-client communication, enabling seamless integration of server capabilities into AI workflows.
Added on:
Created by:
May 14 2025
MCPLite is a lightweight Python framework designed to create MCP (Multimodal Capabilities Protocol) servers. It allows developers to define, expose, and run server-side capabilities like functions or resources that AI agents can invoke programmatically. It supports multiple transport mechanisms and simplifies server-client communication, enabling seamless integration of server capabilities into AI workflows.
Added on:
Created by:
May 14 2025
Brian Anderson
Featured
What is MCPLite?
MCPLite is a Python MCP server framework that enables developers to create scalable and easily accessible server-side capabilities. It functions similarly to FastAPI by allowing users to define capabilities using decorators, which are then exposed via a server process. The framework supports different transport mechanisms, including direct, HTTP, stdio, and SSE, to facilitate communication with clients. When running, it listens for structured JSON requests from clients, routes them to appropriate functions, executes these functions, and returns the results in structured responses. This setup is ideal for integrating AI agents that need to invoke specific capabilities or access resources dynamically, making automation and capability management streamlined and efficient within AI workflows.
Who will use MCPLite?
- AI developers
- Researchers
- Automation engineers
- Developers integrating AI agents with backend capabilities
How to use the MCPLite?
- Step1: Import the MCPLite framework in your Python project
- Step2: Define server capabilities using provided decorators
- Step3: Run the server with app.run(host, port)
- Step4: Use a client library to send structured JSON requests to invoke capabilities
- Step5: Client receives, parses responses, and uses the results in applications
MCPLite's Core Features & Benefits
The Core Features
- Define server capabilities with decorators
- Expose functions as tools or resources
- Support multiple transport mechanisms
- Route incoming requests to the correct functions
- Structured JSON request/response handling
The Benefits
- Easy to develop and expose server capabilities
- Supports multiple communication protocols
- Enables seamless integration with AI agents
- Flexible resource and function management
MCPLite's Main Use Cases & Applications
- Integrating AI agents with backend functions
- Building automation workflows
- Creating scalable microservice capabilities
- Enabling dynamic resource access for AI systems
FAQs of MCPLite
Developer
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