You can access the Pinecone 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

$echo '{
<  "datasetFields": [
<    "text"
<  ],
<  "dataUpdatesStrategy": "deltaUpdates",
<  "dataUpdatesPrimaryDatasetFields": [
<    "url"
<  ],
<  "deltaUpdatesPrimaryDatasetFields": [
<    "url"
<  ]
<}' |
<apify call apify/pinecone-integration --silent --output-dataset

Pinecone Integration API through CLI

The Apify CLI is the official tool that allows you to use Pinecone Integration locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

Pinecone Integration API in Python

Pinecone Integration API in JavaScript

Pinecone Integration OpenAPI definition

Pinecone Integration API

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

4.8

Weaviate Integration

apify/weaviate-integration

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

Apify

4.7

MCP Stress Tester

jakub.kopecky/mcp-stress-tester

A simple MCP Stress Tester client Actor for stress-testing your Model Context Protocol server. 💻⚡

Jakub Kopecký

Milvus Integration

apify/milvus-integration

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

Apify

4.5

Actors MCP Server

apify/actors-mcp-server

⚠️ Legacy: This Actor is outdated. For the latest features and full documentation, visit https://mcp.apify.com. Easily connect any Apify Actor to AI agents using Anthropic’s Model Context Protocol (MCP) with our actively maintained MCP server.

Apify

4.9

OpenAI Vector Store Integration

jiri.spilka/openai-vector-store-integration

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

Jiří Spilka

180

4.8

Browserbase MCP Server

jakub.kopecky/browserbase-mcp-server

A Model Context Protocol (MCP) server that provides browser automation capabilities using Browserbase.

Jakub Kopecký

🎯 Instagram Ad Copywriter Creator

powerai/instagram-ad-copywriter-creator

Transform your Instagram marketing with AI-powered ad copy! This intelligent tool analyzes your product and target audience to generate compelling, conversion-focused Instagram ad content with professional headlines, persuasive body copy, and strategic CTAs.

PowerAI

5.0

ArXiv MCP server

jakub.kopecky/arxiv-mcp-server

The ArXiv MCP server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way.

Jakub Kopecký