ragflow-knowledge-mcp-server
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RAGFlow Knowledge MCP Server is a simple Model Context Protocol server designed to manage and query knowledge bases for RAGFlow.
The RAGFlow Knowledge MCP Server is a specialized server that facilitates the management and querying of knowledge bases within the RAGFlow ecosystem. It supports dynamic knowledge base searching and provides tools to list and retrieve information about knowledge bases. The server is compatible with RAGFlow versions 0.17.2 and 0.18.0, and can be configured using a YAML file. It supports both SSE and stdio transport methods, allowing for flexible integration into various environments. The server can be installed via pip or from source, and can be run directly, with Python, or using Docker/Docker Compose. It also includes logging capabilities through the simp-logger, which can be configured to log to both console and file.
Features
- Dynamic Knowledge Base Searching: Allows for dynamic searching of knowledge bases using configurable tools.
- List Knowledge Bases: Provides a tool to list available knowledge bases, with pagination and limit options.
- Get Knowledge Base Info: Retrieves detailed information about a specific knowledge base by ID.
- Flexible Configuration: Supports configuration via YAML files and environment variables for easy setup.
- Multiple Transport Methods: Supports both SSE and stdio for communication, allowing for versatile deployment options.
