$ loading_
Discover Neo4j vector indexes and run semantic search with metadata prefiltering.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "neo4j-prefiltering-mcp" yet — see the docs or source repo.
Find content in Neo4j related to "recommendation systems in graph databases", return only papers after 2024, and filter by the topic tag "machine-learning".
Returns the most semantically relevant nodes or documents with the year and tag filters applied automatically.
Search project documents related to "vector index performance optimization", only include content authored by Alice, and prioritize the most relevant results.
Outputs semantically ranked document results limited to materials from the specified author.
Find customer feedback records mentioning "slow response time", but only return data from the APAC region with unresolved status.
Returns matching records from the natural language query while dynamically applying metadata filters such as region and status.
Build semantic indexes for codebases to find relevant code with natural language queries.
Query and explore Neo4j graph databases with natural language and Cypher.
Incrementally index repos and documents, then run semantic search over them.
Query Neo4j graph databases with natural language for fast relationship insights.
Semantically search and analyze multilingual code with AST-aware insights.
Build and query vector knowledge graphs with semantic search and graph management.