"python" matching MCP servers:

Exposes 120+ Chinese frontier AI models (DeepSeek, Qwen, GLM, Kimi, Seedance, MiniMax, Hunyuan, CogVideoX) as MCP tools via one OpenAI-compatible endpoint: chat, image generation, free-model list, and a live first-party price leaderboard. Zero platform fee.

A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools. Fully compliant with the official Model Context Protocol specification, offering standardized request/response schemas, large-file streaming I/O, multi-transport remote deployment, and comprehensive text search & replace functionality for LLM agent integration.

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

Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

A Python MCP server that gives vision capabilities to text-only LLMs by exposing an analyze_image tool that sends local images to a vision-capable Ollama model and returns textual descriptions.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

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

A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.

Build Blender scenes through 4 tools and 338 tokens of fixed context: on-demand operation schemas, batches of up to 100 edits, preview captures and permission-gated Python for full bpy access.

Enables natural language control of Blender via Claude by converting MCP JSON-RPC calls to Blender's custom TCP protocol for scene manipulation, object creation, and Python execution.

Enables LLM clients to control a live Siril GUI session through an in-app Python bridge, exposing tools to inspect image state and selection, run commands or scripts, get previews and statistics, and undo operations.

Lets agents see and drive a live 3D application session through its addon socket: viewport screenshots, turntable and multi-mode renders, scene and object inspection, arbitrary Python execution, GLB import/export and asset validation, plus rig, pose-deformation and silhouette-likeness checks. This lets an agent visually judge a 3D result instead of guessing.

Enables Claude to model 3D-printable parts by running Python scripts in a headless FreeCAD instance and exporting STL/3MF/STEP files. It also lets Claude visually inspect renders, check mesh integrity and overhang printability, measure volume and estimated mass, and open results in a slicer before printing.

Enables AI agents to drive GIMP 3 over MCP, covering layers, selections, painting, text, color adjustments, GEGL filters, raw PDB procedures, and free-form Python inside GIMP, with image previews so the agent can see the result of each step. It installs its bridge plugin automatically and launches or attaches to a running GIMP instance, which stays open across MCP client restarts.

Lets an AI assistant work in NVIDIA Isaac Sim and other Omniverse Kit apps: inspect and edit USD scenes, capture viewports with segmentation, run physics, drive robots and record. A Python MCP server on PyPI, with a Kit extension it reaches over a token-checked loopback link.

A Python-based MCP server that adds image analysis capabilities to text-only LLMs via a single analyze_image tool, supporting local files, URLs, auto-scaling, and multiple OpenAI-compatible APIs.

Enables reading, writing, drawing, and animating .aseprite pixel art and sprites natively in pure Python, including converting images to true pixel art, rigging and tweening characters, linting and comparing frames, and exporting GIFs or sprite sheets. It runs fast without launching Aseprite, keeps edits transactional with undo/redo, and includes a built-in web viewer for playback and review.

Enables an AI agent to run a CG cosplay virtual production pipeline on real footage: probe and conform clips, extract frames, chroma key or apply an installed matting model, solve camera moves with COLMAP, convert them into Unreal Engine camera data, add anime-style timing and impact effects, crop verticals, plan live-booth latency, and read the bundled knowledge base. It ships as a Python package of 14 ffmpeg- and COLMAP-backed tools that plug into Claude Code, Claude Desktop, or any MCP client.

Connects AI assistants such as Claude, Cursor, and VS Code to a running Autodesk Maya session through Maya's commandPort, exposing 23 tools for scene inspection, object creation and transforms, materials, attributes, rendering, file import/export, viewport screenshots, and arbitrary Python execution. This lets users build and modify Maya scenes, query scene data, and run renders using natural language.