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Connect AI to Chroma for collection creation and multi-mode data retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Chroma MCP Server" yet — see the docs or source repo.
Use the Chroma MCP Server to create a collection named product_docs, ingest these product documents, and run vector search for the user's question. Return the 5 most relevant results with metadata.
A created document collection plus ranked retrieval results with corresponding metadata.
Search Chroma for content related to "user retention" and return only results where metadata has department=marketing and year=2024.
A result list matching both the topic and metadata filters for precise analysis or Q&A.
Use the Chroma MCP Server to first run full-text search for documents containing "pricing update", then add semantically similar results, and output a deduplicated summary list.
A deduplicated summary of keyword and semantic matches, improving retrieval completeness and accuracy.
Index a knowledge base into Chroma and retrieve relevant document fragments.
Create a shared multilingual team memory with semantic search for MCP clients.
Search, retrieve, and answer questions from PDF documents with RAG.
Automate Chrome tabs, screenshots, and web page interactions for testing workflows.
Retrieve the latest documentation and references for a queried library.
Turn unstructured documents into a searchable knowledge base for AI agents.