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What is MCP Manager?

MCP Manager acts as a centralized cloud-based control system that supervises the functioning of Model Context Protocol (MCP) servers and manages how AI clients access and utilize their data and resources. This platform allows teams to connect both on-site and cloud-based MCP servers, effectively oversee user permissions, enforce customizable security policies, and analyze usage patterns through aggregated logs and metrics. It is specifically designed for organizations incorporating AI assistants and agents that need thorough monitoring of tools operated through MCP. Administrators are equipped to set guidelines for acceptable servers, limit access to certain tools and resources, and monitor requests across interconnected systems. Moreover, MCP Manager simplifies the integration process with MCP-compliant clients and services, providing capabilities for policy enforcement, access management, observability, and enhanced security measures. Teams benefit from a unified approach to managing MCP connections rather than having to configure each AI client independently, resulting in a more efficient and organized oversight experience. Ultimately, MCP Manager not only enables organizations to retain control and security over their AI implementations but also optimizes resource usage, fostering innovation and productivity. By streamlining operations, it helps organizations focus on their core objectives while ensuring that their AI deployments operate smoothly and securely.

What is AI Gateway HQ?

AI Gateway HQ functions as a comprehensive management platform that centralizes AI connectivity, enabling organizations to link their various applications, coding agents, and automation tools with multiple model providers. By offering API endpoints compatible with major players like OpenAI and Anthropic, it efficiently handles requests while managing provider credentials, model aliases, workload keys, and fallback protocols. Administrators can implement strict identity and access controls, monitor request metadata, oversee budgets related to organization and workloads, set rate and concurrency limitations, and analyze routing, usage, costs, and adherence to established policies. Moreover, users have the flexibility to either integrate their own provider API credentials or select a managed solution through Amazon Bedrock, which operates on a prepaid credit basis. Configuration and governance of requests can be easily accomplished via a user-friendly browser-based console and API, which supports established client setups that include Codex CLI, Claude Code, and OpenCode. This platform empowers teams to streamline their AI access, manage both model usage and associated costs, and consistently track operational metrics across various applications and environments, thereby ensuring accountability and efficiency in their AI efforts. Ultimately, the service not only enhances organizational AI strategies but also reinforces control over resource allocation and compliance, fostering a structured approach to AI implementation. Organizations can thus maximize their return on investment while navigating the complexities of AI deployment.

Media

Media

Integrations Supported

Amazon Bedrock Guardrails
ChatGPT
GitHub
GitHub Copilot
Google Drive
Google Workspace
Notion
Slack

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
Anthropic
Claude Code
Codex CLI
DeepSeek
Fireworks AI
Gemini
Microsoft Entra ID
Mistral AI
Okta
OpenRouter

API Availability

Has API

API Availability

Has API

Pricing Information

$135/month
Core is $135 per month, Plus is $400 per month, and Professional is $668 per month. Enterprise pricing is available by quote.
Free Trial Offered?

Pricing Information

$499/month
A limited free evaluation includes a no-card Test Lab, $1 of gateway-request credit (not model credit), one administrator, two provider credentials, and seven-day metadata retention. Flex has no monthly base charge and costs $0.10 per 1,000 successful requests, prepaid; provider inference is billed separately. Company is $499/month for up to 2 million successful requests per UTC calendar month. Portfolio is $1,500/month base for up to 10 million requests. Hosted enterprise starts at $36,000/year. Private-deployment design starts at $60,000/year; this is not a self-service deployment license. Taxes, provider inference, and separately contracted services may add costs.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Usercentrics

Company Location

Germany

Company Website

mcpmanager.ai/

Company Facts

Organization Name

AI Gateway HQ

Date Founded

2026

Company Location

United States

Company Website

aigatewayhq.com

Categories and Features

AI Gateways

Not specified

MCP Gateways

Not specified

Categories and Features

AI Gateways

Not specified

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