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Description
ContextForge MCP Gateway serves as an open-source platform that functions as a Model Context Protocol (MCP) gateway, registry, and proxy, offering a consolidated endpoint for artificial intelligence clients to find and utilize tools, resources, prompts, as well as REST or MCP services within intricate AI ecosystems. This solution operates in front of various MCP servers and REST APIs, facilitating federated and unified processes for discovery, authentication, rate-limiting, observability, and traffic management across numerous back-end systems, while accommodating multiple transport methods like HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP; it also has the capability to transform legacy APIs into MCP-compliant tools. Additionally, the platform features an optional Admin UI that enables users to configure, monitor, and access logs in real time, and it is architected to scale efficiently, from single-instance deployments to expansive multi-cluster Kubernetes setups, utilizing Redis for federation and caching to enhance both performance and resilience. In this way, the ContextForge MCP Gateway not only simplifies the interaction within complex AI architectures but also ensures robust functionality and adaptability across various operational environments.
Description
Webrix MCP Gateway serves as a comprehensive infrastructure for enterprises aiming to integrate AI solutions securely, allowing for seamless connections between various AI agents (such as Claude, ChatGPT, Cursor, and n8n) and internal systems on a large scale.
Utilizing the Model Context Protocol standard, Webrix presents a unified secure gateway that tackles the primary hurdle hindering AI adoption: security apprehensions related to tool accessibility.
Key features include:
- Centralized Single Sign-On (SSO) and Role-Based Access Control (RBAC) – This allows employees to connect to authorized tools immediately, bypassing the need for IT ticket requests.
- Universal agent compatibility – The platform supports any AI agent that complies with the MCP standard.
- Robust enterprise security – Encompasses audit logs, credential management, and strict policy enforcement.
- Self-service functionality – Employees can effortlessly access internal resources (like Jira, GitHub, databases, and APIs) through their chosen AI agents without requiring manual setups.
By addressing the essential challenge of AI integration, Webrix empowers your workforce with the necessary AI capabilities while ensuring robust security, oversight, and compliance. Whether you choose to deploy it on-premise, within your cloud infrastructure, or utilize our managed services, Webrix adapts to fit your organization's needs.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Claude
Docker
GitHub
Jaeger
Jira
Kubernetes
OpenAI
Phoenix
PowerShell
Integrations
Model Context Protocol (MCP)
Claude
Docker
GitHub
Jaeger
Jira
Kubernetes
OpenAI
Phoenix
PowerShell
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
ibm.github.io/mcp-context-forge/
Vendor Details
Company Name
Webrix
Founded
2024
Country
Israel
Website
webrix.ai
Product Features
Product Features
API Management
API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control