"Information about Python programming or Python-related topics" matching MCP servers:

Converts ComfyUI workflows into MCP tools for AI agents to generate images, videos, and other multimedia content.

Enables AI assistants to perform video and audio processing tasks such as format conversion, cutting, merging, and adding effects via FFmpeg, with hardware acceleration support.

Enables AI assistants to programmatically control Adobe Photoshop on Windows to create documents, manipulate layers, and manage image adjustments. It provides a bridge between the Model Context Protocol and the Photoshop Python API for automated graphic design workflows.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

An MCP server that gives Claude Code hands inside DaVinci Resolve Studio, enabling project management, status checks, snapshots, and arbitrary Python scripting via the Resolve API.

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

Enables coding agents to turn explanations of code, pull requests, or concepts into narrated slide walkthroughs voiced locally with Kokoro, returning a link that starts playing in about a second while the remaining slides are still being written. Slides are grounded in real files and git history, checked for errors, and exportable as static folders with captions.

Enables comprehensive control of Blender 3D from Claude Desktop, offering 26 tools for object manipulation, scene management, and material editing. It supports asset integration from platforms like Poly Haven and allows for direct execution of custom Python scripts within the Blender environment.

Enables an MCP client to inspect and modify a running digital audio workstation session through a local Python remote-script TCP bridge, exposing tools for session and track structure, clip slots and MIDI notes, devices and browser items, and mixer/transport control. Read and bulk-write operations cover tempo, naming, clip creation and note editing, muting/soloing/arming, playback and scene launching, and device parameter loading and adjustment.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

A free, unlimited screen capture and recording MCP server for Python. Captures screenshots and records screen activity with no daily limits.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

Enables AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.

Enables remote control of Blender via the Model Context Protocol, allowing users to execute Python scripts, query scene data, and generate 3D models from images. It provides a bridge for AI clients to interact directly with Blender's internal environment and automate 3D content creation.

Enables AI assistants to control Blender via MCP tools for scene manipulation, material assignment, rendering, and Python script execution.