MongoDB MCP Server
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TDQS
Scored across 14 tools
Most tools have distinct purposes, such as aggregate for complex pipelines, query for basic queries, and geo_query for spatial operations. However, query and sample_data both retrieve documents with overlapping functionality, and get_schema might be confused with get_collection_stats for understanding collection structure, leading to some potential confusion.
The naming follows a consistent verb_noun pattern throughout, like count_documents, explain_query, and get_indexes. There are minor deviations with list_collections and list_databases using 'list' instead of 'get', but overall the pattern is clear and predictable.
With 14 tools, this is well-scoped for a MongoDB server, covering a comprehensive range of read-only operations from basic queries to advanced analytics. Each tool serves a specific purpose, such as aggregation, indexing, geospatial queries, and schema analysis, without feeling bloated or incomplete.
The tool set provides complete coverage for read-only MongoDB operations, including querying, aggregation, indexing, geospatial queries, text search, and metadata inspection. There are no obvious gaps; it supports everything from data retrieval to performance optimization and schema exploration for the domain.