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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 Klavis AI?

Klavis AI provides an open-source framework aimed at enhancing the implementation, creation, and scalability of Model Context Protocols (MCPs) for AI solutions. The use of MCPs allows for dynamic integration of tools at runtime in a consistent way, eliminating the need for preconfigured setups during the design process. To simplify authentication management and client-side coding, Klavis AI offers secure, hosted MCP servers. This platform supports a wide variety of tools and MCP servers, promoting both flexibility and adaptability for developers. The MCP servers from Klavis AI are reliable and secure, hosted on dedicated cloud infrastructure that includes support for OAuth and user-based authentication to manage user resources effectively. Additionally, users can access MCPs through MCP clients available on popular communication platforms such as Slack, Discord, and web interfaces, enhancing accessibility. Klavis AI also provides a standardized RESTful API that allows developers to seamlessly interact with MCP servers, making it straightforward to incorporate MCP functionalities into their applications. This comprehensive ecosystem equips developers with the necessary resources to fully leverage the potential of MCPs in their AI initiatives, while also ensuring that they can innovate without being hindered by technical constraints. As a result, Klavis AI is positioned as a vital enabler for those looking to advance their AI projects with cutting-edge integration capabilities.

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Integrations Supported

Model Context Protocol (MCP)
Calendly
ClickUp
Dropbox
Figma
GitHub
Go
Google Calendar
Google Docs
Google Drive
HubSpot CRM
HubSpot Customer Platform
Java
Linear
LinkedIn
Meta AI
Microsoft OneDrive
PostgreSQL
Salesforce
WordPress

Integrations Supported

Model Context Protocol (MCP)
Calendly
ClickUp
Dropbox
Figma
GitHub
Go
Google Calendar
Google Docs
Google Drive
HubSpot CRM
HubSpot Customer Platform
Java
Linear
LinkedIn
Meta AI
Microsoft OneDrive
PostgreSQL
Salesforce
WordPress

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$99 per month
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

Klavis AI

Date Founded

2025

Company Location

United States

Company Website

www.klavis.ai/

Categories and Features

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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