"Top trending MCP servers currently popular" matching MCP servers:

Grades MCP servers on agent usability (A–F) — description quality, schema design, tool naming and token cost, the properties that decide whether a model picks the right tool. Benchmarked across 36 popular servers; a third scored D or F.

Enables automated evaluation of one or many domains in a real browser for accessibility conformance, returning one row per domain with the issues automated checks find by severity, top failing rules, sample elements, a 0–100 score, and European Accessibility Act exposure signals.

MCP server that scans Salesforce Agentforce metadata for security vulnerabilities using 61+ SAST rules, integrating into AI coding workflows to guard against OWASP LLM top 10 risks.

An MCP server for checking OWASP Top 10 vulnerabilities during API development testing. It analyzes API information and returns security assessment results to help developers identify potential security issues.

Enables AI coding agents to search and fetch tested, version-pinned, multi-library code recipes complete with files, setup and test commands, and receipts proving they currently pass. Recipes are re-tested on upstream releases, so agents only receive implementations that are up to date and verified.

Run Semgrep static analysis from an AI agent. OWASP top 10, secrets detection, custom rule packs, baseline scanning. Curated by Archimedes Market with a verified Trust Report.

MCP server that audits other MCP servers. Run MCPWatch security scans from inside Claude Code or any MCP-compatible agent with 10 OWASP MCP Top 10 aligned checks and A-F letter grades.

Provides comprehensive code quality analysis and automated fixing, available as a CLI and MCP server (currently in early beta with MCP part untested).

Audit a web page for SEO and technical issues with Marlo, the open-source AI CMO. Read-only: returns the top findings with evidence, why each matters, and a concrete fix.

Enables running the same prompt(s) across roughly 300 models from Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, Qwen and others, then comparing per-model outputs, latency, token usage, error rates and billed cost side by side. Supports free cost estimates before launching, asynchronous run creation with status polling and cancellation, prepaid x402 credit top-ups, and an optional AI-written comparison summary of the results.

A demo MCP server for testing and debugging tools, providing tools to get launches and trending words.