"A search for videos" matching MCP servers:

Enables AI agents to generate videos from text prompts, monitor job status, retrieve completed videos, and cancel ongoing generation tasks through stdio-based MCP tools.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Semantic code search for Claude Code, enabling natural language codebase indexing and search using AI embeddings.

Turns text scripts into complete videos with stock footage, AI narration, and subtitles via MCP tools for AI assistants.

An MCP server that integrates with AI models to provide web search capabilities through a single, easy-to-use tool interface.

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

MCP server for hybrid medical consultation integrating Western and Traditional Chinese Medicine, enabling symptom analysis, diagnosis, and treatment suggestions through two specialized models.

Enables MCP clients to perform X/Grok searches through xAI's server-side search tool using the Responses API, returning upstream results without rewriting.

Provides intelligent search aggregation for AI agents, automatically detecting intent and returning structured results with links to platforms for various categories like movies, books, products, courses, and more.

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

MCP server that integrates Google's Gemini 2.5 Pro with real-time Google Search grounding for current information retrieval.

Provides web and image search using the Doubao (Volcengine) API with configurable parameters.

Enables all Yandex search types (web, generative, image, and image-by-image) via StreamableHTTP, including deferred operations, and is containerized for use as an HTTP-MCP backend in Docker/Compose stacks.

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.

Dynamic multi-agent debate MCP server for structured argumentation and reasoning among AI agents.

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.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

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.

Predicts the outcome of Dutch court cases dismissed, partly granted, or granted using a model trained on 609,715 rulings, with the outcome leakage measured and removed: 92% of Dutch judgment texts state the outcome verbatim, 0.1% remains after the cut, giving 78.2% accuracy against a 43.7% majority baseline. The lekkage_check tool exposes that same measurement so anyone can test a datase