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Search the Atlas corpus with hybrid retrieval and ranked document chunks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "atlas-mcp-doc-search" yet — see the docs or source repo.
Search the Atlas corpus for "hybrid search implementation details" and return the 5 most relevant document chunks ranked by relevance.
A ranked list of relevant document chunks for quickly locating implementation details.
Search the Atlas corpus for content related to "user onboarding flow requirements" and return the best-matching chunks with source document details.
Relevant requirement snippets with source details, making it easy to review the original documents.
Search the Atlas corpus for "evaluation metrics for retrieval systems" and identify document chunks that best support this topic.
Highly relevant chunks suitable for research citation, helping organize evidence and references.
Search local markdown vector stores with LLMs and evaluate retrieval quality.
Search local Markdown files and return full document contents for use.
Search enterprise documents in natural language across PDF, PPT, and Word files.
Index a knowledge base into Chroma and retrieve relevant document fragments.
Lets AI search and query documentation with flexible retrieval configurations.
Search markdown knowledge bases with hybrid ranking and intelligent reranking.