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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Obot functions as an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway, providing organizations with a centralized control system to discover, onboard, manage, secure, and scale MCP servers, which facilitate the connection of large language models and AI agents to various enterprise systems, tools, and data sources. It incorporates an MCP gateway, a catalog, an administrative console, and an optional integrated chat interface, all within a modern design that works seamlessly with identity providers like Okta, Google, and GitHub to implement access control, authentication, and governance policies across MCP endpoints, thus ensuring that AI interactions remain secure and compliant. Moreover, Obot empowers IT teams to host both local and remote MCP servers, manage access through a secure gateway, establish detailed user permissions, log and audit usage effectively, and create connection URLs for LLM clients, including tools like Claude Desktop, Cursor, VS Code, or custom agents, enhancing operational flexibility and security. Additionally, this platform streamlines the integration of AI services, making it easier for organizations to leverage advanced technologies while maintaining robust governance and compliance standards.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
Amazon Web Services (AWS) Yes 
AutoGen No 
Confluence Yes 
CrewAI No 
GitHub Yes 
Google Cloud Platform Yes 
Jira Yes 
Kubernetes Yes 
LangChain No 
Microsoft Outlook Yes 
Microsoft Teams No 
Notion Yes 
Okta Yes 
Slack No 
Visual Studio Code Yes 
Zapier Yes 
n8n No 

Integrations

Claude Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
Amazon Web Services (AWS) No 
AutoGen Yes 
Confluence No 
CrewAI Yes 
GitHub No 
Google Cloud Platform No 
Jira No 
Kubernetes No 
LangChain Yes 
Microsoft Outlook No 
Microsoft Teams Yes 
Notion No 
Okta No 
Slack Yes 
Visual Studio Code No 
Zapier No 
n8n Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Obot

Founded

2022

Country

United States

Website

obot.ai/

Vendor Details

Company Name

Peta

Country

United States

Website

peta.io

Product Features

Product Features

Alternatives

Alternatives