"Information about Open Source Intelligence (OSINT)" matching MCP servers:

Enables AI assistants to read and create geometry in an open Cadwork 3D document via a local bridge, with queued sequential execution, write approvals, undo support, and a live dashboard for monitoring activity.

Enables small models to turn a short brief into complete HTML pages or looping GIFs with typography, palette, borders, motion, and validation already decided. It also lets agents list styles, retrieve style rules, create assets, validate HTML, and access reference examples.

Enables natural language control of Blender 3D through local AI models, allowing MCP clients to create, modify, and render scenes, apply materials, and execute Python code in Blender.

Lets AI agents drive a live Blender session — reading scene and object data, creating, modifying and deleting objects, setting materials, rendering images, executing code, and downloading PolyHaven assets. Prompts flow through a swappable, provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be reconfigured at runtime without restarting.

Enables AI agents to control a live Blender session for scene and object management, material and render operations, and PolyHaven asset access. It also supports runtime switching between provider-agnostic LLM backends such as Ollama, LM Studio, llama.cpp, and OpenAI-compatible endpoints.

Enables AI agents to control a live Blender session over MCP, creating and modifying objects, applying materials, rendering images, and downloading PolyHaven assets. It also routes prompts to a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be listed and switched at runtime.

Enables AI agents to control a live Blender session, including scene and object operations, rendering, and PolyHaven asset workflows. Supports provider-agnostic LLM backends that can be switched at runtime through MCP tools.

Enables AI agents to control a live Blender session through MCP tools for scene and object manipulation, rendering, PolyHaven asset search/download/texturing, and guided scene workflows, while allowing runtime switching between local or OpenAI-compatible LLM providers.

Enables AI agents to control a live Blender session, manage scenes, objects, materials, and renders, download PolyHaven assets, and switch between multiple LLM backends at runtime.

Enables AI agents to control a live Blender session through MCP tools for scene and object operations, rendering, PolyHaven asset handling, and LLM prompting. Supports multiple configurable and runtime-switchable provider backends, including Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, and Azure.

Enables AI agents to control a live Blender session, manage scene objects and materials, render images, fetch PolyHaven assets, and send prompts to configurable local or OpenAI-compatible LLM providers with runtime switching.

Enables AI agents to inspect and modify live Blender scenes, manage objects and materials, render images, retrieve PolyHaven assets, and send prompts to configurable local or OpenAI-compatible LLM backends.

Enables AI agents to control a live Blender session, inspect and modify scenes, manage PolyHaven assets, render images, and route prompts through configurable local or OpenAI-compatible LLM backends.

Enables AI agents to control a live Blender session through the Model Context Protocol, including scene and object operations, rendering, PolyHaven asset integration, and prompt-driven workflows. It supports multiple local or OpenAI-compatible LLM backends that can be switched at runtime.

Enables AI agents to control a live Blender session through tools for scene and object manipulation, rendering, PolyHaven asset access, and guided prompts. It supports switching between provider-agnostic LLM backends such as Ollama, LM Studio, llama.cpp, and OpenAI-compatible endpoints.

Enables AI agents to inspect and control a live Blender session through MCP tools that create, modify, and delete objects, apply materials, render images, execute Python, and pull PolyHaven assets over a local TCP add-on. It also exposes a provider-agnostic LLM layer that can be pointed at Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure endpoints and switched at runtime.

Enables AI agents to drive a live Blender session — inspecting scenes, creating, modifying and deleting objects, setting materials, rendering images, and searching or downloading PolyHaven assets and textures. It also routes prompts to a pluggable LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be listed and switched at runtime without restarting.

Enables AI agents to control a live Blender session, creating, modifying, and deleting objects, applying materials, rendering images, executing code, and pulling PolyHaven assets, while routing prompts through a provider-agnostic LLM backend that can be switched at runtime.

Enables AI agents to control a live Blender session with scene/object manipulation, rendering, PolyHaven asset tools, and runtime-switchable LLM provider backends.

Enables AI agents to drive a live Blender session over MCP — inspecting and creating scene objects, applying materials, rendering, executing code, and fetching PolyHaven assets. It also exposes prompt, provider, and model tools backed by a provider-agnostic LLM layer (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be switched at runtime.