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What is TrackMCP?

If you've set up an MCP server but are unsure how to maximize its potential, TrackMCP can offer essential insights to enhance your experience. - Recognize the users accessing your MCP server - Identify which AI clients are establishing connections - Compare the number of newly registered users with returning ones - Gain insight into the tasks users are attempting to complete - Trace the sequence of tools they engage with - Assess whether users are successfully finishing their tasks - Detect potential bottlenecks in workflows and highlight opportunities for improvement With just a single line added to your MCP server using either TypeScript or Python, TrackMCP will seamlessly take over, delivering your data on the dashboard in real-time. Moreover, we provide a free MCP repository where you can display your MCP server, making it easier for others to discover and utilize it effectively. By sharing your project, you not only increase your visibility but also contribute to building a vibrant and collaborative community focused on MCP development. This collective effort can lead to innovative solutions and improvements across the board.

What is ContextForge MCP Gateway?

The ContextForge MCP Gateway is an open-source solution acting as a Model Context Protocol (MCP) gateway, registry, and proxy, providing a unified endpoint for AI clients to access tools, resources, prompts, as well as REST or MCP services within complex AI environments. This system operates in conjunction with various MCP servers and REST APIs, streamlining processes related to discovery, authentication, rate-limiting, observability, and traffic management across numerous backend systems, and supports multiple transport mechanisms such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP; it also possesses the ability to convert legacy APIs into MCP-compliant tools. Moreover, it includes an optional Admin UI that allows users to configure settings, monitor activities, and access logs in real-time, while being designed to scale from single-instance setups to large multi-cluster Kubernetes environments, utilizing Redis for federation and caching to boost both performance and resilience. This architecture makes the ContextForge MCP Gateway not only a facilitator of seamless interactions within intricate AI architectures but also a highly adaptable platform that can meet the diverse demands of various operational contexts. Ultimately, the platform enhances the overall efficiency and effectiveness of AI integrations, ensuring that users can maximize their technological investments.

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Integrations Supported

Model Context Protocol (MCP)
Claude
Docker
Hindsight
Jaeger
Kubernetes
OpenAI
Phoenix
PowerShell
PyPI
Python
SQLite
Zipkin

Integrations Supported

Model Context Protocol (MCP)
Claude
Docker
Hindsight
Jaeger
Kubernetes
OpenAI
Phoenix
PowerShell
PyPI
Python
SQLite
Zipkin

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TrackMCP

Date Founded

2025

Company Location

India

Company Website

trackmcp.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

ibm.github.io/mcp-context-forge/

Categories and Features

Categories and Features

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