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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
If you've deployed an MCP server but find yourself uncertain about its usage, TrackMCP can provide valuable insights.
- Identify the users of your MCP server
- Determine which AI clients are making connections
- Analyze the number of new users versus returning ones
- Understand the tasks users are attempting
- Discover the sequence of tools they utilize
- Evaluate whether tasks are completed successfully
- Pinpoint where workflows may falter and identify areas for enhancement
Simply add one line to your MCP server in either TypeScript or Python, and TrackMCP will automatically handle the rest, presenting your data in the dashboard instantly.
Additionally, we offer a complimentary MCP repository where you can showcase your MCP server, allowing others to find and utilize it effectively. Sharing your project not only helps you gain visibility but also fosters a collaborative community around MCP development.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Claude
Docker
Hindsight
Jaeger
Kubernetes
OpenAI
Phoenix
PowerShell
PyPI
Integrations
Model Context Protocol (MCP)
Claude
Docker
Hindsight
Jaeger
Kubernetes
OpenAI
Phoenix
PowerShell
PyPI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
TrackMCP
Founded
2025
Country
India
Website
trackmcp.com
Product Features
Product Features
Alternatives
Alternatives
No Alternatives