A
licenseNot graded
qualityC
maintenanceA self-hostable MCP server that provides permanent memory for AI agents using Postgres + pgvector for semantic search and Markdown file sync.
0
MIT
mcp-server-pgvector
by mittalpk
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TDQS
A3.7/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a clearly distinct role: discovery (list_vector_tables, describe_vector_table), search (similarity_search, hybrid_search), data modification (upsert_embedding), indexing (create_vector_index), and diagnostics (explain_similarity_query). No two tools overlap in purpose.
Naming Consistency5/5
All tools follow a consistent verb_noun snake_case pattern (list_, describe_, create_, upsert_, explain_) or use noun_verb for search operations. The naming style is uniform and predictable.
Tool Count5/5
Seven tools is well within the ideal 3-15 range. Each tool earns its place, covering discovery, search, ingestion, indexing, and query analysis without redundancy.
Completeness4/5
The toolkit covers the core pgvector workflow: list tables, describe schema, create index, upsert vectors, search, and explain query plans. Minor gaps like a delete_embedding or drop_index tool are missing, but they are not essential for the primary use case.
Maintenance
ActivityInactive
ResponsivenessNo issues