"Browse Reddit content" matching MCP servers:

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

Enables end-to-end analysis of Reddit discussions: fetches posts, performs sentiment and toxicity detection, generates visualizations and word clouds, and optionally builds Neo4j knowledge graphs, all through natural language orchestration.

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.

OrcaRouter MCP — browse 160+ LLM models with live pricing (no API key needed for catalog) and route chat completions through the OrcaRouter gateway with automatic fallback.

An MCP server that gives LLMs direct access to OpenRouter's Image API to generate images, edit/transform existing ones, and browse the model catalog.

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

Analyzes startup ideas against 6 sources (GitHub, HN, npm, PyPI, Google, Reddit) with LLM-powered intent parsing to assess competition, demand, and gaps.

Delegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables MCP agents to evaluate content against typed questions (yes/no, choice, or score) in a single parallel call.

MCP server that integrates ByeRisk's content compliance detection into AI assistants, enabling text, image, and video compliance checks with risk details and rewrite suggestions.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables AI agents to check URL safety before fetching content, using Google Web Risk, URLhaus, PhishTank, and AI analysis to return SAFE/SUSPICIOUS/DANGEROUS verdicts.

Enables agents to verify claims against cited evidence, screen content for prompt injection and relevance before reading it, and rank candidates by meaning, all with calibrated probability verdicts.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

On-demand access to 150+ specialist AI agent templates — search, browse, and spawn agents. 150x reduction in context usage vs loading agents locally.

Create AI-powered videos from any MCP-compatible client. Generate videos with AI narration, visuals, and synced captions for short-form and long-form content.

Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.

Wraps Jimeng AI's image and video generation APIs for AI assistants to create and edit visual content via natural language.