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What is Storm MCP?

Storm MCP acts as a sophisticated gateway focused on the Model Context Protocol (MCP), enabling effortless connections between AI applications and a variety of verified MCP servers with a simple one-click deployment option. It guarantees strong enterprise-grade security, improved observability, and straightforward tool integration without requiring extensive custom coding efforts. By standardizing connections for AI and selectively exposing specific tools from each MCP server, it aids in reducing token consumption while optimizing model tool selection. Users benefit from its Lightning deployment feature, granting access to over 30 secure MCP servers, while Storm efficiently handles OAuth-based access, detailed usage logs, rate limits, and monitoring. This cutting-edge solution is designed to securely link AI agents with external context sources, allowing developers to avoid the complexities involved in creating and maintaining their own MCP servers. Aimed at AI agent developers, workflow creators, and independent innovators, Storm MCP is distinguished as a versatile and customizable API gateway, alleviating infrastructure challenges while providing reliable context for a wide array of applications. Its distinctive features make it a vital resource for enhancing the AI integration experience, ultimately paving the way for more innovative and efficient solutions in the realm of artificial intelligence.

What is DeployStack?

DeployStack serves as a robust management platform designed for the enterprise context of the Model Context Protocol (MCP), with the goal of centralizing, securing, and improving the governance of MCP servers and AI tools across organizations. It boasts an all-in-one dashboard that facilitates the oversight of all MCP servers and integrates a centralized credential vault to eliminate the hassle of managing numerous API keys and configuration files. Furthermore, it employs role-based access control, OAuth2 authentication, and high-grade encryption to ensure that enterprise operations remain secure. The platform also delivers in-depth usage analytics and observability, providing real-time insights into MCP tool utilization, such as user access trends and frequency, while maintaining extensive audit logs for compliance and financial transparency. Moreover, DeployStack enhances token and context window management, allowing Large Language Model (LLM) clients to significantly reduce token usage through a hierarchical routing system that efficiently accesses multiple MCP servers, thereby preserving model performance without compromise. This forward-thinking solution not only streamlines operational processes but also equips organizations with the tools needed to effectively manage their AI resources, all while upholding stringent security and compliance standards. As a result, DeployStack positions itself as an indispensable asset for enterprises navigating the complexities of AI governance.

Media

Media

Integrations Supported

Claude
Cursor
GitHub
Model Context Protocol (MCP)
Notion
Visual Studio Code
Atlassian Clover
Grafana Cloud
HubSpot CRM
LaunchDarkly
Microsoft 365
Slack
Terraform
Twilio

Integrations Supported

Claude
Cursor
GitHub
Model Context Protocol (MCP)
Notion
Visual Studio Code
Figma
Gemini CLI
Google Cloud Platform
Google Drive
OpenAI
OpenAI Codex

API Availability

Has API

API Availability

Has API

Pricing Information

$29 per month
Free Version

Pricing Information

$10 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Storm MCP

Company Location

United States

Company Website

stormmcp.ai/

Company Facts

Organization Name

DeployStack

Date Founded

2024

Company Location

United States

Company Website

deploystack.io

Categories and Features

AI Gateways

Not specified

MCP Gateways

Not specified

Categories and Features

MCP Gateways

Not specified

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