# mcp-pgvector-search

> mcp-pgvector-search — juanpinilla198-mcp-pgvector-search. Use this tool when you need to enhance search capabilities with hybrid semantic and keyword retrieval, solving problems of inaccurate or incomplete search results in large document collections. It takes in documents and search queries as inputs and outputs high-quality search results, leveraging PostgreSQL and pgvector as the backend. Ideal for use cases requiring advanced search functionality, such as information retrieval and question-answering applications.

Canonical page: https://skillsregistry.net/skills/juanpinilla198-mcp-pgvector-search  
JSON: https://api.skillsregistry.net/v1/skills/juanpinilla198-mcp-pgvector-search

## Description

An MCP server that enables hybrid semantic and keyword retrieval over your documents, using PostgreSQL and pgvector as the backend. It fuses rankings from both methods to provide high-quality search results to the language model.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lex72ylcmm)
- **Repository:** <https://github.com/JuanPinilla198/mcp-pgvector-search>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "juanpinilla198-mcp-pgvector-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/juanpinilla198-mcp-pgvector-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/juanpinilla198-mcp-pgvector-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt