EveryMCP

Indexed MCP Listing

pgvector MCP

Run vector similarity search on PostgreSQL using the pgvector extension.

Memory & ContextSelf-hostedVector SearchIndexed source: pgvector
Before you install: EveryMCP has not security-audited this listing or independently verified its publisher. Review the linked repository, requested permissions, deployment model, and official-registry record where applicable. How the catalog works →
Listed author
pgvector
Repository
https://github.com/pgvector/pgvector-mcp

Installation reference

Requires PostgreSQL with pgvector installed; standard PG connection string.

Treat this as catalog metadata, not an audited command. Confirm current instructions in the linked sources before running it.

Use Cases

  • • Semantic search
  • • RAG retrieval
  • • Embedding storage

Tags

vector-dbpostgresembeddingsrag

Choose a starting stack

The free planner offers three-server shortlists for five common goals. It does not automatically include pgvector MCP or confirm compatibility with your environment.

Build a free starting stack

Rolling out your first MCP workflow? The $49 starter kit provides a selection matrix, permission record, client example, and acceptance/rollback checklist. It does not certify pgvector MCP or provide managed setup.

Review the rollout packet — $49

For complex enterprise requirements, share consulting context.