"Information or resources about video editing" matching MCP servers:

Enables an LLM overseer or script to inspect, localize, edit, and judge a PyTorch model's weights in place without training, exposing sliced weight reads, activation and edge patching, circuit discovery, and a range of head/MLP/matrix editing ops. Free screening plus a charged propose-and-verdict loop, backed by a hash-chained ledger and optional mid-training hooks, keeps edits gated by automated acceptance criteria.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

A video analysis system that uses AI vision models to process, analyze, and query video content through natural language, enabling users to search videos by time, location, and content.

Enables AI agents to turn natural-language creative direction, transcripts, and source media into fully structured, editable video projects, then verify and render delivery files.

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.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

OpenAI Sora AI video generation with text-to-video, image-to-video, character reuse across scenes, and async webhook callbacks.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables coding agents to request calibrated probability judgments over typed questions—yes/no, named choices, or ordered scores—about a described situation, returning one probability per option rather than free text. Runs Cloudflare's Clef model locally on Apple Silicon Macs, with images or video frames optionally attached, and answers delivered as a single MCP tool call.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

A public, long-lived contact and cooperation point for autonomous AI agents. Agents describe missing capabilities or resources, request help from a human operator, and leave persistent messages on a tamper-evident message board.

An MCP server that answers typed noul/choice/score questions about a given state with probability distributions and confidence, for routing, escalation, and gating decisions. It runs on pluggable backends (local Needle 3 or Laya models, or any OpenAI-compatible endpoint) and logs every decision so recorded ground truth can be used to track calibration.

Enables AI agents to drive an iPhone or iOS Simulator through 30 tools and 4 resources, using an observe/act/verify loop with built-in safety approvals.

Judgment calls on small, fast, cheap models: yes/no, pick-one and rating questions about any text, answered YES, NO or UNSURE. Four tools (likely, classify, rate, each) for TypeSafe's Jev, open models on Ollaya, Ollama or a local NLI model.

Connects Claude to the Statonic video editor to enable vision-based reference video analysis and AI-driven project authoring. It allows for the direct generation of project variations and automated video structure identification through the Model Context Protocol.

Enables agents and scripts to drive a social publishing account through remote or local MCP tools: drafting, scheduling, approving and publishing posts, running durable background jobs with file attachments, and reading or editing Brand Memory, assets, and standing agents. Hosts can connect over OAuth with no API key, or run the stdio variant with a key for local disk tools.

Provides chat and image analysis capabilities through OpenRouter.ai's diverse model ecosystem, enabling both text conversations and powerful multimodal image processing with various AI models.

A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.

An MCP server that provides standardized access to biomedical knowledge bases and resources, enabling AI systems to retrieve verified information from sources like bioRxiv, EuropePMC, and various protein/gene databases.

TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.

Enables AI-driven video editing and color grading in DaVinci Resolve, including beat-synced cuts, algorithmic 3D LUT generation, media transcoding, and hands-free playback control through natural language.

Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.

Enables AI agents to perform headless video editing through 35 tools for project creation, clip manipulation, rendering, quality control, and semantic search, all via JSON-RPC 2.0 over stdio.

Enables AI agents to model, sculpt, rig, animate and bake particle effects by editing a semantic scene document, with built-in software rendering, measurable critics that flag floating or broken geometry, and game-ready glTF export. It exposes templates, atomic edit batches, motion and effect previews, undo history, and no GPU, browser, or Blender required.

Enables asynchronous two-way messaging between Codex Desktop tasks and Claude Desktop Code sessions on Windows, allowing either side to share information, questions, or updates through MCP tools.

Connects Claude AI to AutoCAD for architectural design, enabling natural language to execute 684 commands. Automates drawing creation and editing through the Model Context Protocol.

MCP server for cinematic context platform, enabling video asset management, lineage tracing, and pipeline orchestration via DataHub.

Enables Claude and Codex agents to delegate implementation, testing, research, or review tasks to each other through local MCP tools, while supporting persistent sessions, isolated editing workspaces, and reviewed integration. It also allows progress tracking, cancellation, model selection, and management handoff between providers.

An MCP server that transforms Claude-style skills and resources into callable tools for any MCP-compatible agent or client. It automatically discovers, exposes, and executes scripts from skills organized in local directories or packaged archives.

MCP server that lets any LLM host or MCP client orchestrate a crew of four skill-distinct agents in parallel, returning a deduplicated synthesis plus the measured time saved versus sequential runs. Exposes an info passport tool, an orchestration tool, and motto/skills resources so hosts can discover the crew's guarantees before dispatching work.

Converts spoken descriptions into standards-compliant floor plans and furnished 3D models, enabling real-time collaborative editing through a live browser editor with Claude AI.

Enables orchestrator models to delegate code creation and editing to Cursor's Composer 2 or Grok 4.5 agents, keeping the orchestrator's context free and shifting bulk code generation to cheaper agents.

Enables AI agents to control the RealityScan photogrammetry pipeline (align, mesh, texture, export) either headless or through a visible GUI, and includes a 360° video to perspective frames converter for pre-processing equirectangular and YouTube EAC content.

Enables agents and services to ask small decision models typed questions about text, JSON, images, or video, returning labels, scores, or yes/no answers over MCP tools or a Jev-compatible HTTP API.

Enables autonomous shortform video editing by tracking speakers and dynamically reframing 16:9 footage into 9:16, with smart bounding box coordination for CapCut and MCP-compatible agent workflows.

An MCP server that lets a model play 0 A.D. as an ordinary player by observing its own units, buildings, scoreboard, resources, and fog-of-war-limited terrain, then issuing native player commands such as movement, training, research, gathering, building, garrisoning, and rally points. It drives the official Pyrogenesis client through an ENet relay and companion mod, while withholding hidden opponent information, raw packets, sync hashes, and scripted commands to keep play fair.

Enables local MCP clients to answer questions about the current browser page by capturing DOM context, routing them to fast or deep OpenAI models via a local model router, and optionally filling forms and submitting answers.

Turns Claude-style skills (SKILL.md files with resources) into callable MCP tools for any agent. Discovers skills from a directory, exposes their instructions and resources, and can execute bundled helper scripts.

An MCP server for analyzing images using OpenRouter vision models, offering capabilities like automatic image resizing, model configuration, and handling custom queries about images.