"Research papers and studies on artificial intelligence" matching MCP servers:

Real-time video intelligence

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

Enables AI agents to read public Instagram Reels without logging in, returning details, on-device timestamped speech-to-text transcripts, real video frames, preview comments, and Reel links harvested from web pages.

Provides image recognition capabilities to Codex/Claude Code by routing 'look at screen/screenshot' requests to a multimodal model via an API relay. Enables UI automation agents to analyze local screenshots and return descriptions or structured JSON coordinates.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

MCP server for evidence-aware video research, providing tools to analyze local videos, inspect specific time windows, and analyze Bilibili videos with provenance tracking and optional audio removal for privacy.

Enables AI clients like Codex, Claude Code, and Kimi Code to analyze public video URLs by downloading media, uploading it to Gemini, and returning timestamped production breakdowns covering shots, visual design, animation, motion, narration, music, sound effects, and editing, with follow-up Q&A and session management tools.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Enables safe, observable Blender research by exposing structured tools for viewport capture, object and material edits, semantic scene creation, and managed .blend project lifecycles with transactional rollback and validation.

Enables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.

This server enables interaction with Google's Video Intelligence API for advanced video analysis, auto-generated using AG2's MCP builder to provide a standardized multi-agent interface.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

Empower LLMs with fine-grained visual understanding — detect, localize, and describe anything in images with natural language prompts.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Provides tools to generate images using Amazon Nova Canvas and videos using Amazon Nova Reel models via Amazon Bedrock and S3.

A FastMCP server that provides virtual try-on functionality through the Replicate API, allowing users to visualize how clothing items would look on models.

Enables accounts payable teams to extract invoice data from PDFs and images, detect duplicates, normalize vendor names, calculate payment terms, and validate invoice completeness. Supports local extraction for text PDFs and optional vision providers for scanned documents.

Enables text-only agents to process images by accepting image files, base64 data, or URLs, sending them to multimodal models, and returning structured text results via MCP.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

Enables AI assistants to run local Radiance lighting and daylighting simulations on user-owned models, including annual daylight, compliance metrics, renders, glare analysis and electric lighting studies, with reproducible exported scripts.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Enables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.

Compress, merge, split, OCR and convert PDFs (Word, Office, images, webpages) on local files, plus password protect and unlock, through the Papyrio API. Works without a key on a free guest tier; an optional RapidAPI key raises the limit.

Post AI-generated images to Vynly, the AI-only social feed. Four tools for posting, reading, searching, and ephemeral sparks — auto-claims a demo token on first run so it works with no signup.

Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.

Lets coding agents such as Claude Code and Codex hand summarising, field extraction, classification and OCR to the free, offline on-device model for Apple Foundation Models on macOS 27. One Rust binary, installed with Homebrew.

Augments DeepSeek-V4 with image understanding and deep research capabilities via MCP, enabling vision and web research tools.

Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.

Local MCP server for PDF and photo tasks: merge, split, rotate and number PDFs, convert images to PDF, and inspect or strip hidden photo metadata (EXIF/GPS). Runs entirely on your machine — no uploads, no accounts, no API keys.