MCPFast / Tools / RAG MCP Server for Semantic Search on WSO2 Documentation
A production-ready MCP server providing RAG-based semantic search over WSO2 documentation, including API Manager, Micro Integrator, Choreo, Ballerina, BI, and IS.
View on GitHub→This RAG MCP Server is designed for developers seeking efficient and accurate semantic search capabilities across the comprehensive WSO2 documentation suite. Leveraging Retrieval-Augmented Generation (RAG), this tool provides a production-ready solution to query information related to WSO2 API Manager, Micro Integrator, Choreo, Ballerina, Business Intelligence (BI), and Identity Server (IS). It aims to streamline the process of finding relevant technical details, code examples, and best practices within the WSO2 ecosystem.
The RAG MCP Server indexes and processes the extensive WSO2 documentation. When a query is submitted, it utilizes RAG techniques to retrieve the most relevant passages from the documentation and then generates a concise, contextually accurate answer. This moves beyond simple keyword matching to understand the intent behind the query, providing more precise and actionable results for developers working with WSO2 products.
This tool is specifically for AI builders and developers working with WSO2 technologies. If you frequently need to consult WSO2 documentation for API management, integration, cloud-native development with Ballerina and Choreo, business intelligence solutions, or identity and access management, this RAG MCP Server can significantly improve your workflow. It's ideal for those who require fast, accurate, and context-aware answers to technical questions without sifting through large volumes of text.