"Most downloaded items or content" matching MCP servers:

Enables EU AI Act Article 50(2) compliant watermarking of AI-generated content using C2PA manifest envelopes.

Detects AI-generated content by analyzing 24 writing patterns, provides style analysis, plagiarism check, text humanization suggestions, and offers batch detection and version comparison tools.

Enables MCP clients to classify, score, and evaluate content with structured typed decisions via a single generic tool.

The first commercial implementation of HTTP 402 Payment Required for creator content monetization. AI agents pay $0.0025 per content pull from paywalled creator libraries. Creators get paid automatically.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

Enables AI agents to make pay-as-you-go AI inference requests through x402 with automatic Solana USDC payments, no API keys or registration, while enforcing configurable spending limits.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

Let any MCP client issue and verify EU AI Act Article 50 transparency receipts for AI-generated content, anchored to Bitcoin.

Enables coding or reasoning agents to request structured judgments from TypeSafe's Jev model at decision points, including choices, scores, claim verification, and code reviews, with probabilities and confidence returned as data.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Manage voice AI agents from Claude Code, Cursor, VS Code, or any MCP-compatible assistant.

Enables sending a shared context with multiple independent questions to TypeSafe's Jev model via the public OpenJEV API, returning typed judgments and probabilities (choice, score, or yes/no) instead of prose.

Exposes Xiaofenshen's public read-only APIs as MCP tools, enabling agents to read shared content, list image prompt templates, and fetch product documentation.

Give text-only LLM agents eyes by describing images through a vision-language model via MCP or CLI.

Furl folds repeated tool output into a hash-addressed marker, keeps the line that matters, and returns any original byte-exact the moment the agent asks for it. No summary. No guessing. Nothing thrown away.

Enables AI agents to receive a structured verdict on whether a UI component need can be satisfied by existing shadcn/ui or 21st.dev components or requires a custom build, with coverage scoring against real component evidence and a Mobbin reference when needed.

mediamcp is an MCP server that connects your AI assistant — Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, or anything else that speaks MCP — to cloud media models (Gemini Flash Image, GPT-5 Image, Seedream, Veo, Sora, …) via OpenRouter or any OpenAI-compatible API.

Enables coding agents to submit their original request, proposed plan items, and observed repository conventions for per-item necessity scoring before making edits. It returns advisory keep, simplify, or review recommendations with reasons and evidence, without blocking or modifying the plan.

Evaluates task suitability for local models before cloud API calls, routing to Ollama or similar to reduce costs.

Enables document parsing into structured, confidence-scored fields via the scan tool, working with any MCP host like Claude Desktop or Cursor.