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Explorer/MCP/qpd-v/mcp-ragdocs
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MCP-Ragdocs

qpd-v/mcp-ragdocs

A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

↗qpd-v/mcp-ragdocsExternal link; availability not verifiedLicenseApache 2.0Hybrid hosting
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Checked Apr 18, 2026
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First indexed Apr 18, 2026
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Can run locally or remotely depending on deployment. Review the source repository.
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Source repository is available for review.
↗qpd-v/mcp-ragdocsExternal link; availability not verified
Environment variables (6)
OLLAMA_URLstringOPTIONALdefault: http://localhost:11434
URL of your Ollama instance, defaults to http://localhost:11434.
QDRANT_URLstringREQUIRED
URL of your Qdrant instance. For local use: http://localhost:6333. For Qdrant Cloud: https://your-cluster-url.qdrant.tech
OPENAI_API_KEYstringOPTIONAL
Your OpenAI API key, required if using OpenAI as the embedding provider.
QDRANT_API_KEYstringOPTIONAL
Your Qdrant Cloud API key, required if using Qdrant Cloud.
EMBEDDING_MODELstringOPTIONAL
Optional embedding model. Defaults to 'nomic-embed-text' for Ollama and 'text-embedding-3-small' for OpenAI.
EMBEDDING_PROVIDERstringOPTIONALdefault: ollama
Choose between 'ollama' (default) or 'openai' for the embedding provider.

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