"How to check differences between files" matching MCP servers:

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.

Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.

Enables users to check whether an Australian field-service job can be worked at a location on a given day for a specific trade, using live weather forecasts, daylight hours, and public holiday data.

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.

Enables production-grade answer verification for LLM agents by independently re-checking answers with a configurable verifier model, enforcing confidence policies, and producing Ed25519-signed, auditable verification results with optional web search and knowledge-base evidence.

On-chain rug-pull & honeypot risk screen for ERC-20 tokens, providing a SAFE / CAUTION / HIGH-RISK verdict based on live public RPC reads.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.

A Model Context Protocol (MCP) server that provides comprehensive SEO analysis tools with actionable fix instructions for AI assistants like Claude Code and Claude Desktop.

Minimal MCP server for testing GitHub PR checks pipeline, with deterministic tools echo, add, and server_info.

MCP server that scores merchant risk and reputation via a paid check_merchant tool, returning trust tiers and price-fairness readings for shopping agents.

A metacognitive pattern interrupt system that helps prevent AI assistants from overcomplicated reasoning paths by providing external validation, simplification guidance, and learning mechanisms.

Custom version of vibecheck

Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.

Enables agents to query whether a WordPress plugin, npm package, or PyPI project looks abandoned, returning a live abandonment-risk score, status, and the registry signals behind it, plus raw registry, GitHub, and version history detail. Calls are paid per request in USDC via x402, with free discovery and source-listing tools.

Enables pay-per-call screening of individuals and entities against the HHS-OIG List of Excluded Individuals and Entities (LEIE), with x402 payment and an MCP interface for agents.

A server that enables checking and managing learning paths based on the 2022 Korean national curriculum, including child profile management, curriculum search, prerequisite tracing, and learning check creation with deterministic state assessment.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.