MCP Servers
MCP Servers: Model Context Protocol Servers for AI Assistants
Samayas Consulting exposes its online tools as MCP (Model Context Protocol) servers. MCP is an open standard that lets AI assistants such as Claude, Codex, and other MCP clients discover and call external tools directly from a conversation.
Instead of copying data between a browser and your AI assistant, an MCP client connects to a server endpoint, invokes the tool with parameters, and receives structured results the assistant can reason about and act on. Each server below exposes one of our online tools, and its website documents the available operations and configuration.
AS Number
The AS Number MCP server exposes the AS Number lookup tool to AI assistants through the Model Context Protocol. It extracts all IP address ranges associated with a specific Autonomous System Number, providing critical information for network engineers and security professionals directly within an AI conversation.
An Autonomous System (AS) is a collection of IP networks and routers under the control of a single organization that presents a common routing policy to the internet. An AI assistant connected to this server can retrieve the complete IP space associated with an ASN and reason about it for network planning, firewall rule configuration, traffic analysis, or security threat assessment.
The AS Number MCP server can be accessed here.
DNSSEC Debugger
The DNSSEC Debugger MCP server exposes DNSSEC chain-of-trust analysis to AI assistants through the Model Context Protocol. It analyses a domain name from the DNS root down to its authoritative nameservers, verifying DS records, DNSKEY sets, and RRSIG signatures, and returns a Secure, Insecure, Broken, or Unknown verdict.
An AI assistant can use the server to check a domain's DNSSEC configuration during domain onboarding, troubleshooting, or security audits, and pinpoint which link in the chain of trust fails, directly within the conversation.
The DNSSEC Debugger MCP server can be accessed here.
LLM Memory Calculator
The LLM Memory Calculator MCP server exposes the memory estimation tool to AI assistants through the Model Context Protocol. It estimates whether a local large language model fits in your GPU VRAM and system RAM, taking the guesswork out of running models locally.
The calculation is based on parameter count, weight quantization, architecture details, and runtime settings such as context length and batch size. An AI assistant can use the server to compare model configurations, check whether a quantized variant fits specific hardware, and explain the memory breakdown of weights, KV cache, and runtime overhead.
The LLM Memory Calculator MCP server can be accessed here.
My Ip
The My IP MCP server exposes IP address lookup to AI assistants through the Model Context Protocol. It provides your public IP address along with associated details about your internet connection.
An AI assistant can query the server to confirm the connection origin during troubleshooting, VPN verification, proxy testing, or geolocation checks, directly within the conversation.
The My IP MCP server can be accessed here.
User Agents
The User Agents MCP server exposes user agent parsing to AI assistants through the Model Context Protocol. It decodes the browser and device identification sent with every web request into human-readable details.
The server breaks down each User Agent string into browser type and version, operating system, device type, and rendering engine, so an AI assistant can interpret cryptic strings during development, analytics interpretation, or bot detection without manual parsing.
The User Agents MCP server can be accessed here.