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Description

Build and manage AI agent teams using our Mixture of Experts (MoE) system. Create specialized digital workers with tailored knowledge, language models, triggers, and tools. Expand your workforce through computing power, not headcount. Simplify complex task automation without any coding needed.

Description

The Model Context Protocol (MCP) is a flexible, open-source framework that streamlines the interaction between AI models and external data sources. It enables developers to create complex workflows by connecting LLMs with databases, files, and web services, offering a standardized approach for AI applications. MCP’s client-server architecture ensures seamless integration, while its growing list of integrations makes it easy to connect with different LLM providers. The protocol is ideal for those looking to build scalable AI agents with strong data security practices.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Sonnet 3.5 Yes 
Claude Sonnet 3.7 Yes 
HubSpot CRM Yes 
Notion Yes 
OpenAI Yes 
Atono No 
Crush No 
Fillo No 
GForge No 
Ideogram 4.0 No 
Metorial No 
Nagent AI No 
Probie No 
Screen Browser No 
Sitelemetry No 
TinyFish No 
TradeStaq No 
VectorCraft No 
ViralFarm No 
kubbi No 

Integrations

Claude Sonnet 3.5 Yes 
Claude Sonnet 3.7 Yes 
HubSpot CRM Yes 
Notion Yes 
OpenAI Yes 
Atono Yes 
Crush Yes 
Fillo Yes 
GForge Yes 
Ideogram 4.0 Yes 
Metorial Yes 
Nagent AI Yes 
Probie Yes 
Screen Browser Yes 
Sitelemetry Yes 
TinyFish Yes 
TradeStaq Yes 
VectorCraft Yes 
ViralFarm Yes 
kubbi Yes 

Pricing Details

$0
Freemium
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Invicta AI

Founded

2023

Country

United Kingdom

Website

invictai.io

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

modelcontextprotocol.io

Alternatives

Alternatives

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