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What is The MCP Census?

The MCP Census acts as an online resource that helps developers and teams verify the integrity of Model Context Protocol (MCP) servers by validating evidence. It evaluates server listings by comparing them against various public metrics such as repository identifiers, availability of packages, health of endpoints, registry details, and announcements regarding vulnerabilities. Users can search for specific servers or submit an MCP configuration to obtain results classified as PASS, REVIEW, BLOCK, or UNKNOWN, along with explanations and supporting evidence that align with a specified policy version. This service is easily accessible via a dedicated website, REST API, and remote MCP server, allowing for seamless integration into agent workflows and ongoing integration procedures that monitor changes in configurations. Detailed setup guides are provided to assist users in connecting the service to their development tools and coding agents. It is essential to note that the MCP Census serves primarily as an initial filter for public evidence, and it should not be viewed as a malware detection tool, a means of penetration testing, or a guarantee of a server's security for operational use. Consequently, developers must grasp its intended functionality and inherent limitations to utilize it effectively. Additionally, understanding the context in which the MCP Census operates can help teams make informed decisions regarding the safety and reliability of their server environments.

What is Runlayer?

Runlayer acts as an AI control hub designed for organizations that are implementing AI agents and related tools across their engineering, security, IT, and business divisions. The platform boasts a governed catalog containing approved MCP servers, connectors, skills, and agents, which ensures that all interactions with agent tools are routed through a gateway that upholds compliance with set policies. Administrators can track AI client activities and MCP functionalities, review session traces and audit logs, and apply customizable policies, approvals, and security checks to manage or block potentially risky actions. Employees are granted the ability to create agents using supported AI clients while adhering to authorized tools and predefined permissions, with teams managing the integration and oversight of these resources. Additionally, Runlayer provides seamless integration of AI clients with identity management systems, device management solutions, and MCP servers, featuring both hosted and self-hosted deployment options. This platform is specifically engineered for organizations that seek to attain comprehensive visibility, governance, and security while deploying AI agents and associated workflows throughout their operations, thus promoting a more efficient and safe atmosphere for innovation. As a result, companies can harness the power of AI while maintaining control over their technological environment.

Media

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Media

No images available

Integrations Supported

Model Context Protocol (MCP)
GitHub Actions

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

$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

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

MCP Census

Company Location

Australia

Company Website

mcpcensus.com

Company Facts

Organization Name

Anysource

Date Founded

2025

Company Location

United States

Company Website

www.runlayer.com

Categories and Features

AI Agent Security

Not specified

Categories and Features

AI Agent Security

Not specified

AI Governance

Not specified

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