Enkrypt AIAnaconda
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The MCP CensusMCP Census
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Related Products
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About
Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
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About
The MCP Census is a web-based evidence-checking service for developers and teams that use Model Context Protocol (MCP) servers. It compares server listings with public signals such as repository identity and status, package availability, hosted endpoint health, registry records, and vulnerability advisories. Users can look up a server or submit an MCP configuration and receive PASS, REVIEW, BLOCK, or UNKNOWN results under a versioned policy, with reasons and supporting evidence. The service is accessible through a website, REST API, and remote MCP server, and can be used in agent workflows and CI checks for configuration changes. Setup guides connect it to coding agents and developer tools. MCP Census is an initial public-evidence gate, not a malware scanner, penetration test, or guarantee that a server is safe to run.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises, AI security teams, CISOs, cybersecurity professionals, AI and machine learning teams, developers, compliance and governance teams, risk managers, and organizations deploying generative AI applications, autonomous agents, frontier models, or MCP-based AI infrastructure
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Audience
Developers and teams whose AI agents install or connect to MCP servers
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Screenshots and VideosNo images available
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PricingContact us for pricing
Free Version
Not Supported
Free Trial
Supported
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Pricing
$0
The no-account tier allows 10 lookups per day. A free account includes 1,000 credits per month. Builder costs $19/month, and Team costs $49/month. One-time credit packs cost $9 for 1,000 credits.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAnaconda
Founded: 2022
United States
www.enkryptai.com
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Company InformationMCP Census
Australia
mcpcensus.com
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Categories |
Categories |
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Integrations
Model Context Protocol (MCP)
Supported
Anaconda
Supported
Claude Code
Supported
CrewAI
Supported
Cursor
Supported
GitHub Actions
Not Supported
Kilo Code
Supported
Kiro
Supported
LangGraph
Supported
OpenAI Agents SDK
Supported
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Integrations
Model Context Protocol (MCP)
Supported
Anaconda
Not Supported
Claude Code
Not Supported
CrewAI
Not Supported
Cursor
Not Supported
GitHub Actions
Supported
Kilo Code
Not Supported
Kiro
Not Supported
LangGraph
Not Supported
OpenAI Agents SDK
Not Supported
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