You can access the PGVector Integration programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=apify/pgvector-integration",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with PGVector Integration

Get a ready-to-use configuration for your MCP client with the PGVector Integration Actor preconfigured at mcp.apify.com?tools=apify/pgvector-integration .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Chroma Integration

apify/chroma-integration

This integration transfers data from Apify Actors to a Chroma and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.5

Pinecone Integration

apify/pinecone-integration

This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.

Apify

490

3.2

OpenSearch Integration

apify/opensearch-integration

Transfer data from Apify Actors to Amazon OpenSearch Service. This Actor is a good starting point for building question-answering systems, search functionality, or Retrieval-Augmented Generation (RAG) use cases.

Apify

4.4

OpenAI Vector Store Integration

jiri.spilka/openai-vector-store-integration

This integration uploads data from Apify Actors to the OpenAI Vector Store linked to OpenAI Assistant.

Jiří Spilka

195

4.8

Image Text Extractor

m3web/image-text-extractor

Extract text from images using OCR (Optical Character Recognition) via direct URLs or uploaded JSON/CSV files. Works with multiple languages and automatically enriches your structured file with the text found inside images.

M3Web

Crawl4AI

janbuchar/crawl4ai

Wraps the Crawl4AI open-source library for retrieving text content from websites.

Jan Buchar

607

5.0

Merge, Dedup & Transform Datasets

lukaskrivka/dedup-datasets

The ultimate dataset processor. Extremely fast merging, deduplications & transformations all in a single run.

Lukáš Křivka

4.5K

RAG Web Browser

apify/rag-web-browser

Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs.

Apify

6.4K

4.8

Torrent Scraper

ondrejklinovsky/torrent-scraper

Scrape information about torrents from popular torrent sites. Download the data in JSON, CSV, and Excel.

Ondrej Klinovský

176

Docling

vancura/docling

Docling document parser & converter – Convert documents into structured data without complexity. This Actor leverages the powerful Docling library to parse and transform various document formats into clean, structured outputs ready for analysis or integration.