"Information on ordering products from websites" matching MCP servers:

MCP server that provides npm package information for AI agents during TypeScript development.

Enables Codex to scaffold small framework-free websites and critique them with sourced, severity-annotated findings that teach better design and development choices.

Enables AI assistants to scan websites, public repositories, and OpenClaw/CLAW skills for security vulnerabilities, including local skill-package analysis before installation, cloud scans, and remediation guidance.

Enables coding agents to capture and inspect running projects, resolve real assets from free sources, and check source for design tells, providing an evidence loop for improving websites, games, and motion.

A MCP server for Trae IDE that reads and reports diagnostic information (errors/warnings/hints) from the IDE, enabling AI Agents to provide more intelligent code analysis and suggestions.

Enables Codex CLI to perform code reviews on uncommitted changes via an MCP tool, keeping review context separate from the main session.

Lien connects AI coding assistants like Cursor and Claude Code to your codebase through the Model Context Protocol (MCP). Ask questions in natural language, get precise answers from semantic search—all running locally on your machine.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Provides ChatGPT read-only access to inspect repositories, code, merge requests, pipelines, and CI logs on self-managed GitLab instances, including those reachable only from a private network or VPN.

Enables agents to reverse-engineer software across native binaries, managed code, Electron apps, websites, and live runtime behavior, returning findings linked to the evidence and limitations behind each conclusion. It also maintains a durable workspace where those behaviors can be inspected, questioned, compared against real execution, and exported as runnable handoffs.

Connects AI agents to local analysis tools that inspect native binaries, JavaScript/Electron apps, .NET assemblies, and websites without source code, so features can be explained, traced, and rebuilt. Every finding is returned with its supporting evidence and stated limitations.

Enables AI coding agents and AI IDEs to pull real-time LSP diagnostics, type/hover/signature information, and code navigation from a running editor, replacing slow tsc and eslint runs. Also supports workspace-wide symbol renaming, reference lookup with usage context, opening files, and listing open editor windows.

Exposes CodeScene's Code Health analysis as local AI-friendly tools, enabling AI assistants to provide insights on code quality, maintainability, and technical debt directly from the codebase.

Enables AI agents (and a matching CLI) to inspect native binaries, JavaScript/Electron apps, .NET assemblies, Go/Rust/WASM artifacts, EVM bytecode, SQLite databases, recorded crashes, and websites without source code, explaining how features work and returning the evidence and limitations behind each conclusion. Analysis runs locally, using optional Hopper, Ghidra, or IDA providers for native targets.

Runs a one-click security audit on your MCP setup, scanning packages for vulnerabilities and assigning a score from 0-100 with actionable recommendations.

Enables AI coding agents to inspect Runable projects over MCP, providing read-only access to project information and configuration via Runable's inspector.

Enables AI coding agents to quickly find relevant code, focus reads on important parts of large files, and pick relevant items from long lists, reducing token usage and search time.

Enables AI agents to inspect and reverse engineer local software targets, including binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning evidence-backed findings for understanding and building similar features.

Enables AI assistants to fetch, explore, and analyze source code from any Python package on PyPI, including listing files, reading specific code, and searching packages across all published versions.

Enables MCP-compatible AI coding agents to retrieve real-time language-server diagnostics, type and symbol information, definitions, references, workspace-wide renames, and file operations from an open editor. This provides accurate code navigation and editing context without waiting for slow tsc or eslint checks.