📌Overview

Purpose: 5ire is designed to serve as a sleek AI assistant and MCP client, providing a powerful interface for connecting AI models to various data sources and tools.

Overview: The framework introduces an innovative approach to enhancing AI interactions through its MCP (Multi-Context Protocol) server capabilities. It enables seamless integration with multiple AI models and provides necessary tools for more than just simple conversations, facilitating enhanced data handling and processing capabilities.

Key Features:

• Support Tools via MCP Servers: 5ire offers an open protocol that connects AI applications to various tools, allowing for advanced interactions such as file system access, database interactions, and data retrieval from remote sources.

• Local Knowledge Base: Utilizing the bge-m3 embedding model, 5ire supports the local vectorization of multiple document types, enhancing its Retrieval-Augmented Generation (RAG) capabilities by storing and processing vectors locally.

• Usage Analytics: The analytics feature tracks API usage and spending, enabling users to optimize their service use based on informed decisions.

• Prompts Library: This feature allows users to create and organize prompts with versatile variable support for enhanced AI responses.

• Bookmarks: Users can save conversations as bookmarks, ensuring that essential content remains accessible even if original messages are deleted.

• Quick Search: A keyword search functionality across all conversations makes it easy for users to locate specific information quickly.

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Installation Requirements

Before activating the tools feature, ensure the following components are installed:

• Python
• Node.js
• uv (Python package manager)

These components are required for the MCP Server runtime environment. If you don't plan to use the tools feature immediately, you can skip this step and complete it later when needed. For detailed installation instructions, see our Installation Guide.

Features

⚒️ Support Tools via MCP Servers

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It facilitates connecting AI models to various data sources and tools.

We have created an open marketplace for MCP Servers, empowering users to discover and share exceptional tools.

💡 Local Knowledge Base

The integration of the bge-m3 local embedding model supports multilingual vectorization and allows parsing and vectorization of various document types (docx, xlsx, pptx, pdf, txt, csv). This enhances Retrieval-Augmented Generation (RAG) capabilities locally.

📈 Usage Analytics

Track your API usage and spending to optimize service utilization.

✨ Prompts Library

Organize and create your own prompts with support for variables.

🔖 Bookmarks

Bookmark conversations to retain saved content even if original messages are deleted.

🔍 Quick Search

Perform keyword searches across all conversations to quickly find needed information.

Tip: Since 5ire uses native dependencies, it must be packaged on the corresponding platform (e.g., configure APPLE_TEAM_ID, APPLE_ID, and APPLE_ID_PASS for notarization on macOS to avoid security alerts).

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MCPSvr is a community-driven directory that helps developers discover and share exceptional MCP server creations.