iot-dc3 logo
iot-dc3
★ 1.3k
vs
agentql-mcp logo
agentql-mcp
★ 181

iot-dc3 vs agentql-mcp

iot-dc3: IoT DC3 is an open-source industrial IoT runtime that connects field devices through 36 protocol drivers (Modbus, OPC UA, Siemens S7, MQTT, LoRaWAN and more) and delivers normalized point data to applications through one API. An Agentic Center built on Spring AI and an MCP tool gateway let AI agents query and act on devices with governance.; agentql-mcp: AgentQL MCP Server integrates AgentQL's data extraction capabilities into the Model Context Protocol. It allows AI assistants like Claude, VS Code, Cursor, and Windsurf to extract structured data from web pages using natural language prompts. Setup requires npm installation and an API key from AgentQL.

01

TL;DR

iot-dc3 logo
iot-dc3Data Processing · ★ 1.3k

Collecting telemetry from PLCs and sensors on a factory floor into one platform

agentql-mcp logo
agentql-mcpData Processing · ★ 181

Extract video lists from YouTube search results

02

Side-by-Side Comparison

Field
iot-dc3 logoiot-dc3
agentql-mcp logoagentql-mcp
Category
Data Processing
Data Processing
Stars
★ 1.3k
★ 181
License
NOASSERTION
MIT
Install Command
—
npm install -g agentql-mcp
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
ai, ai-agents, cloud-native
agent, agentql, ai
03

Features

iot-dc3 logoiot-dc3
0136 driver modules covering industrial protocols (Modbus, OPC UA/DA, S7, BACnet, IEC 61850, DNP3) and IoT protocols (MQTT, CoAP, LwM2M, BLE, Zigbee, LoRaWAN)
02MCP tool gateway with OAuth client registration for external AI agents
03Driver SDK for building and registering custom protocol drivers
04PostgreSQL persistence with TimescaleDB, pgvector and AGE
05One-command startup with Podman / Docker Compose, plus Swarm scaling
agentql-mcp logoagentql-mcp
01Extract structured data from any URL using natural language prompts
02Seamless integration with MCP-compatible AI assistants
03One-click install options for VS Code and Cursor
04Flexible configuration for multiple platforms
05Supports development and debugging via MCP Inspector
04

Use Cases

iot-dc3 logoiot-dc3
↳Collecting telemetry from PLCs and sensors on a factory floor into one platform
↳Letting AI agents query device status and run governed control actions over MCP
↳Decoupling device integration from application development in industrial projects
agentql-mcp logoagentql-mcp
↳Extract video lists from YouTube search results
↳Scrape product information from e-commerce sites
↳Collect article metadata from news websites
05

Best For

iot-dc3 logoiot-dc3
Trending
agentql-mcp logoagentql-mcp
—
FAQ

FAQ

What is the difference between iot-dc3 and agentql-mcp?
Both iot-dc3 and agentql-mcp are in the Data Processing category. iot-dc3 has 1.3k stars, while agentql-mcp has 181 stars.
Which is better, iot-dc3 or agentql-mcp?
The best choice depends on your use case. Choose iot-dc3 if Collecting telemetry from PLCs and sensors on a factory floor into one platform, and agentql-mcp if Extract video lists from YouTube search results.
Is iot-dc3 free or open source?
Yes, iot-dc3 is open source on GitHub (NOASSERTION).
Is agentql-mcp free or open source?
Yes, agentql-mcp is open source on GitHub (MIT).
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