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Description
Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.
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
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Yes
AutoGen
Yes
ChatGPT
Yes
Claude
Yes
CrewAI
Yes
Cursor
Yes
LangChain
Yes
Microsoft Teams
Yes
Slack
Yes
n8n
Yes
Integrations
Model Context Protocol (MCP)
Yes
AutoGen
No
ChatGPT
No
Claude
No
CrewAI
No
Cursor
No
LangChain
No
Microsoft Teams
No
Slack
No
n8n
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Peta
Country
United States
Website
peta.io
Vendor Details
Company Name
TrackMCP
Founded
2025
Country
India
Website
trackmcp.com