Smart MCP Bridge

Pricing

from $1,000.00 / 1,000 results

Smart MCP Bridge

Model Context Protocol bridge actor. Connects AI agents to web data sources via standardized MCP interface. Extract, transform, and serve data for AI consumption.

Pricing

from $1,000.00 / 1,000 results

Rating

0.0

(0)

Developer

UXINFRA

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

MCP servers

You can access the Smart MCP Bridge 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("uxinfra/uxinfra-smart-mcp-bridge").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

Smart MCP Bridge API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Smart MCP Bridge API in JavaScript

Smart MCP Bridge API through CLI

Smart MCP Bridge OpenAPI definition

Smart MCP Bridge API

Web Search MCP Server

abotapi/ai-search-mcp-server

An Apify MCP Server that provides real-time web search capabilities for AI agents via the Model Context Protocol (MCP).

AbotAPI

DEPRICATED Browser Mcp

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The Browser MCP Actor combines Browser with the Model Context Protocol (MCP) to let AI agents control web browsers via a standardized interface. It enables navigation, data extraction, form filling, testing, and complex web automation.

Nahom D

Playwright MCP Actor

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The Playwright MCP Actor integrates the robust browser automation capabilities of Playwright with the Model Context Protocol (MCP), enabling AI agents and language models to perform web scraping, testing, and automation tasks through a standardized interface.

anuj upadhyay

5.0

N8n Mcp Actor

direct_duty/n8n-mcp-actor

Bridge between n8n workflows and Model Context Protocol (MCP) servers.

Sean

MCP Reddit

barudob/mcp-reddit

Connects Reddit API with Model Context Protocol to enable AI agents to retrieve posts, search content, analyze sentiment, and access subreddit and user information.

Barbora Dobrovolná

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

OpenAI Agent MCP Tester

jiri.spilka/openai-agent-mcp-tester

Automated Model Context Protocol (MCP) server testing and evaluation tool using openai-agents SDK. Connects to multiple MCP servers via HTTP streaming, tests available tools using AI agents, and generates detailed reports with pass/fail status for each server. Supports custom authentication headers