Mcp Servers
Extends AI model capabilities with a collection of Model Context Protocol (MCP) servers that provide access to various tools and resources.
About
This project implements a suite of Model Context Protocol (MCP) servers, designed to enhance the capabilities of AI models. Built with Deno and TypeScript, these servers provide a type-safe and functional programming-oriented environment for integrating various tools and resources. The project encompasses text processing, data conversion, API integration, and development utilities, offering a comprehensive toolkit for augmenting AI model functionality.
Key Features
- Includes development utilities for tasks such as generating UUIDs and formatting JSON data.
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- Modular structure for easy addition of new tools.
- Facilitates interaction with external APIs and services for tasks like fetching weather information or translating text.
- Provides text processing tools for manipulating and transforming text.
- Enables data conversion between various formats such as JSON, YAML, CSV, and XML.
Use Cases
- Enhancing AI model context with real-time weather data.
- Automating data format conversions for AI model input.
- Extending AI model capabilities with advanced text processing functionalities.