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Similarity search, hybrid search, and index management for pgvector-backed PostgreSQL tables
50FairInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mittalpk-mcp-server-pgvector": {
"command": "uvx",
"args": [
"mcp-server-pgvector"
],
"env": {
"DATABASE_URL": "YOUR_DATABASE_URL",
"MCP_PGVECTOR_READ_ONLY": ""
}
}
}
}
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Environment
| Name | Required | Notes |
|---|
| DATABASE_URL | Yes | PostgreSQL connection string, e.g. postgresql://user:password@host:5432/dbname Secret. |
| MCP_PGVECTOR_READ_ONLY | No | Set to 'true' to disable upsert_embedding and create_vector_index |
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
Similarity search, hybrid search, and index management for pgvector-backed PostgreSQL tables
FAQ
- What is pgvector?
- Similarity search, hybrid search, and index management for pgvector-backed PostgreSQL tables
- How do I install pgvector?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is pgvector official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 50 (Fair). The formula is published on the methodology page.
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