"OWASP Dependency-Check" matching MCP servers:

Integrates Vale prose linting into AI coding assistants, enabling users to check text files for style and grammar issues using Vale's powerful linting engine. Provides automated style feedback with smart configuration discovery and rich formatted results.

23 developer & data API tools for AI agents - IP/DNS/WHOIS/SSL lookups, web scraping & screenshots, text AI (summarize, translate, sentiment, grammar, redact), and dev utilities (hash, UUID, QR, JWT, cron, IBAN/VAT/email validation, breach check).

Exposes support case reasoning tools — generate structured case briefs and check escalation readiness from any MCP-compatible AI client.

Enables agents to check and retrieve concept-structured YouTube video summaries from the oratilo library via lookup and full-text search tools, avoiding redundant summarization work.

Automates Grammarly's web interface to check AI detection and plagiarism scores, then uses Claude to iteratively rewrite text until it meets target thresholds for humanized content.

distill-mcp-v2 is a high-performance, network-dependency-free Python FastMCP server designed to aggressively optimize Large Language Model (LLM) context windows. It provides specialized tools for compressing and analyzing massive AI-agent payloads without losing critical semantic information.

Provides calendar, email, meeting transcription and summarization, and weather tools via MCP, enabling users to manage schedules, handle correspondence, capture meeting insights, and check conditions through natural language.

AI text detection and humanization for Claude Code, Cursor, and Windsurf. Check if text sounds AI-generated, improve it to read naturally, and verify results — all without leaving your editor.

Enables users to turn public vendor-policy changes into short, evidence-backed spoken briefings for procurement, privacy, and vendor-risk teams, with tools to check live policy pages and estimate monitoring costs.

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

Enables AI agents to compress retrieved web documents against a query, pruning irrelevant noise so only the most relevant context reaches the model. It runs as a zero-dependency Python MCP server that accepts a query payload and returns structured, scored output.

Verifiable document intelligence for AI agents. Extract, summarize, claim-check, and notarize PDFs & URLs with cryptographic proofs, cross-document search, and on-chain attestation via Base L2.