# MCP PDF to PGVector

> MCP PDF to PGVector — sanskritiparmendranaval-mcp-pdf-to-pgvector-main. Use this tool when you need to make PDF documents searchable via natural language, enabling semantic search and RAG pipelines. It ingests PDFs, extracting and chunking content, generating local embeddings, and storing them in pgvector for efficient querying. Ideal for use cases requiring natural language search functionality across large PDF collections.

Canonical page: https://skillsregistry.net/skills/sanskritiparmendranaval-mcp-pdf-to-pgvector-main  
JSON: https://api.skillsregistry.net/v1/skills/sanskritiparmendranaval-mcp-pdf-to-pgvector-main

## Description

MCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v51fs46olw)
- **Repository:** <https://github.com/sanskritiparmendranaval/mcp-pdf-to-pgvector-main>

## 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": "sanskritiparmendranaval-mcp-pdf-to-pgvector-main"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanskritiparmendranaval-mcp-pdf-to-pgvector-main` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanskritiparmendranaval-mcp-pdf-to-pgvector-main/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