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About

Arcade.dev is an AI tool-calling platform that enables AI agents to securely perform real-world actions, like sending emails, messaging, updating systems, or triggering workflows, through authenticated, user-authorized integrations. By acting as an authenticated proxy based on the OpenAI API spec, Arcade.dev lets models invoke external services (such as Gmail, Slack, GitHub, Salesforce, Notion, and more) via pre-built connectors or custom tool SDKs, managing authentication, token handling, and security seamlessly. Developers work with a unified client interface (arcadepy for Python or arcadejs for JavaScript), facilitating tool execution and authorization without burdening application logic with credentials or API specifics. It supports secure deployments in the cloud, private VPCs, or on premises, and includes a control plane for managing tools, users, permissions, and observability.

About

Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers and teams building autonomous agents seeking a tool to integrate with enterprise systems and third-party APIs without custom auth work

Audience

Developers and businesses looking for a standardized way to integrate LLMs with various data sources and tools to build scalable AI systems

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$50 per month
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • MCP is one of the most important pieces of AI infrastructure right now because it gives agents a standard way to plug into the outside world. Instead of every AI app needing a custom integration for every database, SaaS tool, repo, file system, or internal API, MCP creates a common connection layer. That matters a lot. It makes AI agents feel less like isolated chat windows and more like real software that can read context, call tools, retrieve data, and take useful actions. I also like that MCP has momentum across the ecosystem. It is not just an Anthropic-only idea anymore. The fact that major AI tools and developer environments are adding MCP support makes it feel like a real protocol, not just another vendor feature.

Cons

  • MCP also raises the stakes. Once agents can access tools and data, security becomes a much bigger deal. Permissions, authentication, logging, prompt injection, tool poisoning, and accidental data exposure all need to be handled carefully. It can also get messy if teams expose too many tools without structure. An agent with a giant pile of vague tools is not automatically smarter. Good MCP servers need clean design, clear scopes, strong descriptions, and thoughtful permissions.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Arcade
Founded: 2024
United States
www.arcade.dev/

Company Information

Anthropic
Founded: 2021
United States
modelcontextprotocol.io

Alternatives

Alternatives

The Training Arcade

The Training Arcade

ELB Learning
Flowise

Flowise

Flowise AI

Categories

Categories

Integrations

ChatGPT
Claude
Firecrawl
Gemini
GitHub
Google Calendar
HubSpot CRM
Jira
LangChain
Notion
OpenAI
Python
Salesforce
Slack
X (Twitter)
Claude Sonnet 3.5
DeckSpeed
Emergent
JetStream Security
zopnight

Integrations

ChatGPT
Claude
Firecrawl
Gemini
GitHub
Google Calendar
HubSpot CRM
Jira
LangChain
Notion
OpenAI
Python
Salesforce
Slack
X (Twitter)
Claude Sonnet 3.5
DeckSpeed
Emergent
JetStream Security
zopnight
Claim Arcade and update features and information
Claim Arcade and update features and information
Claim Model Context Protocol (MCP) and update features and information
Claim Model Context Protocol (MCP) and update features and information