MCP-Ragdocs
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Enables semantic search and natural language retrieval of documentation by indexing content from URLs or local files into a vector database using Model Context Protocol integration.
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May 30, 2025
Enables semantic search and natural language retrieval of documentation by indexing content from URLs or local files into a vector database using Model Context Protocol integration.
Unlock the full potential of MCP-Ragdocs through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.
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Your Qdrant Cloud API key, required if using Qdrant Cloud.
URL of your Qdrant instance. For local use: http://localhost:6333. For Qdrant Cloud: https://your-cluster-url.qdrant.tech
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Your OpenAI API key, required if using OpenAI as the embedding provider.
Optional embedding model. Defaults to 'nomic-embed-text' for Ollama and 'text-embedding-3-small' for OpenAI.
Choose between 'ollama' (default) or 'openai' for the embedding provider.
ollamaURL of your Ollama instance, defaults to http://localhost:11434.
http://localhost:11434Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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