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Description
MCP Manager serves as a cloud-centric control hub that oversees the operation of Model Context Protocol (MCP) servers while regulating the manner in which AI clients utilize their resources and data. It enables teams to link both local and remote MCP servers, effectively manage user access, implement customizable policies and safety measures, and analyze user activities via consolidated logs and usage metrics. This service is tailored for organizations that are integrating AI assistants and agents and require comprehensive monitoring of MCP-driven tool utilization. Administrators have the capability to define parameters for permissible servers, restrict or prohibit certain tools and resources, and track requests across interconnected systems. In addition, MCP Manager facilitates seamless integrations with MCP-compliant clients and services, offering functionalities for policy enforcement, access oversight, observability, and security enhancements. The platform is particularly beneficial for teams seeking a centralized approach to managing MCP connections instead of configuring each AI client separately, ensuring a more streamlined and efficient oversight process. Ultimately, MCP Manager empowers organizations to maintain control and security in their AI deployments while maximizing resource utilization.
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.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
ChatGPT
Yes
Claude
Yes
Cursor
Yes
Slack
Yes
Amazon Bedrock Guardrails
Yes
Asana
Yes
AutoGen
No
Claude Duet
No
Claude for Legal
No
CrewAI
No
Integrations
ChatGPT
Yes
Claude
Yes
Cursor
Yes
Slack
Yes
Amazon Bedrock Guardrails
No
Asana
No
AutoGen
Yes
Claude Duet
Yes
Claude for Legal
Yes
CrewAI
Yes
Pricing Details
$135/month
Core is $135 per month, Plus is $400 per month, and Professional is $668 per month. Enterprise pricing is available by quote.
Free Trial
Yes
Free Version
No
Pricing Details
Free
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Usercentrics
Country
Germany
Website
mcpmanager.ai/
Vendor Details
Company Name
Peta
Country
United States
Website
peta.io