Ollama Apify Mcp

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Ollama Apify Mcp

The Ollama MCP Actor brings together Apify’s web-scraping power with fast, private, on-device AI. No external APIs required. It lets you run local LLMs through Ollama using the Model Context Protocol, so you can analyze scraped data, extract insights, and generate responses with full control.

Pricing

from $0.01 / 1,000 results

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Developer

Anwesh Mishra

Maintained by Community

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Monthly active users

3 days ago

Last modified

Categories

Agents

MCP servers

You can access the Ollama Apify Mcp 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("lenticular_negative/ollama-apify-mcp").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Ollama Apify Mcp API in Python

The Apify API client for Python is the official library that allows you to use Ollama Apify Mcp API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Ollama Apify Mcp API in JavaScript

Ollama Apify Mcp API through CLI

Ollama Apify Mcp OpenAPI definition

Ollama Apify Mcp API

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