The MCP CensusMCP Census
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Related Products
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About
Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. Built for security and engineering teams accountable for AI in development and production, it continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validate whether guardrails and controls hold, and show teams how to close each gap.
AI red teaming tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, and map findings to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Unlike traditional AppSec tools or manual penetration testing, Mindgard cuts AI risk assessment from weeks to hours, pinpoints and validates defensive gaps, and supports continuous policy compliance as AI systems change. Capabilities: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance. SOC 2 Type
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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
Cybersecurity teams interested in a platform that uncovers cyber threats against Artificial Intelligence
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Audience
Developers and teams whose AI agents install or connect to MCP servers
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Support
Phone Support
Not Supported
24/7 Live Support
Not 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
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Contact vendor
Quote-based. Contact Mindgard to book a demo and discuss pricing. An open-source CLI (pip install mindgard, MIT licence) is available for testing individual models.
Free Version
Not Supported
Free Trial
Not 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
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMindgard
Founded: 2022
United Kindom
mindgard.ai/
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Company InformationMCP Census
Australia
mcpcensus.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Cybersecurity Features
AI / Machine Learning
Supported
Behavioral Analytics
Not Supported
Endpoint Management
Not Supported
Incident Management
Not Supported
IOC Verification
Not Supported
Tokenization
Not Supported
Vulnerability Scanning
Supported
Whitelisting / Blacklisting
Not Supported
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Integrations
GitHub Actions
Not Supported
Model Context Protocol (MCP)
Not Supported
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Integrations
GitHub Actions
Supported
Model Context Protocol (MCP)
Supported
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